silabus singkat matakuliah program magister instrumentasi - ITB

SILABUS SINGKAT MATAKULIAH 

PROGRAM MAGISTER INSTRUMENTASI DAN KONTROL 

FAKULTAS TEKNOLOGI INDUSTRI 

INSTITUT TEKNOLOGI BANDUNG 

Matakuliah TAHUN PERTAMA 

Semester I 

Semester II 

No Kode Nama Matakuliah SKS No Kode Nama Matakuliah SKS 

1 MA6173 Matematika Lanjut 2 1 TF6212 Teknik Optimasi 2 

2 TF6111 Fisika Instrumentasi 2 2 TF6214 Proses Stokastik 2 

3 TF6113 Sistem Pengukuran 3 3 TF6216 Sistem Instrumentasi 3 

4 TF6115 Sistem Linier 3 4 TF6218 Teori Kontrol Otomatik 3 

5 TF8111 Metoda dan Manajemen Riset 2 

TOTAL 12 TOTAL 10 

Matakuliah TAHUN KEDUA 

Semester III 

Semester IV 


1 Matakuliah Pilihan 2 1 




5 TF70Z1 Penelitian I 2 5 TF70Z2 Penelitian II 4 

TOTAL 10 TOTAL 4 

Matakuliah PILIHAN 

Semester III 

Semester IV 


1 TF5111 Kontrol Optimal 2 1 TF5212 Sistem Pakar 2 

2 TF5113 Kontrol Proses 2 2 TF5214 Identifikasi Sistem 2 

3 TF5115 Instrumentasi Medik 2 3 TF722A Instrumentasi Ultrasonik 2 

4 TF7111 Kontrol Adaptif 2 4 TF7212 Sistem Kontrol Non Linier 2 

5 TF7113 Sistem Inteligensia Buatan 2 5 TF7214 Sistem Online dan Real-Time 2 

6 TF8113 Pemrosesan Sinyal Lanjut 2 6 TF8212 Estimasi dan Pemfilteran 2 

7 TF8115 Pemodelan dan Simulasi 2 7 TF8242 Instrumentasi Optik dan Laser 2 

Silabus S2 PINK 

Tahun 2003/2004 

1

SEMESTER I 

SEMESTER II 

Courses 

Credit 

Hours 

Courses 

Credit 

Hours 

MA6173 Advanced 

2 TF6212 Optimization 

2 

Mathematics 

Technique 

TF6111 Physics of 

2 TF6214 Stochastic Process 2 

Instrumentation 

TF6113 Measurement 

3 TF6216 Instrumentation 3 

Systems 

Systems 

TF6115 Linear Systems 3 TF6218 Automatic Control 3 

Theory 

TF8111 Method and 

2 

Management of 

Research 

Total Credit Units 12 Total Credit Units 10 

SEMESTER III 

Courses 

Credit 

Hours 

SEMESTER IV 

Courses 

Credit 

Hours 

Elective 

Selected Courses 8 

TF7011 Research I 2 TF7012 Research II 4 

Total Credit Units 10 Total Credit Units 4 

Courses 

Courses 

List of Elective I & III 

List of Elective II & IV 

TF7111 Optimal Control 2 TF7210 Ultrasonic 

2 

Instrumentation 

TF7113 Adaptive Control 2 TF7212 Expert Systems 2 

TF7115 Artificial Intelligent 2 TF7214 Nonlinear Control 2 

Systems 

TF7117 Process Control 2 TF7216 Online & Real Time 2 

Systems 

TF7119 Medical 

2 TF7218 System Identification 2 

Instrumentations 

TF8113 Advanced Signal 2 TF8212 Estimation and 2 

Processing 

Filtering 

TF8115 Modeling and 

Simulation 

2 TF8214 Optical Instr. and 

Laser 

2 


Tahun 2003/2004 

2

I.1. TF5111 Kontrol Optimal 

Kode 

Kuliah 

TF5111 

Sifat kuliah 

Kelompok Kuliah 

Course Title 

(Indonesian) 

Nama Matakuliah 

Course Title 

(English) 


Short Description 

Silabus ringkas 

Kredit : 

2 SKS 

Semester: 3 

Kuliah 

Matakuliah Keahlian 

Optimal Kontrol 

Control Optimal 

KBK/Bidang 

Keahlian: 

Instrumentasi dan 

Kontrol 

Sifat: 

Pilihan 

Pengenalan, pendekatan Lyapunov, Hamilton-Jacobi dan 

Minimum Principle, pendekatan peletakan akar (pole-placement), 

pemrograman dinamik, pengontrol optimal waktu diskrit, 

estimasi variabel keadaan optimum, pengontrol optimal dengan 

sistem persamaan polynomial, kontrol tegar 

References 

Acuan 

Introduction, Lyapunov approach, Hamilton-Jacobi and 

Minimum Principle, pole placement approach, dynamic 

programming, discrete-time optimal controller, optimum state 

estimation, optimal controller of polynomial systems of equation, 

robust control 

1. Frank L. Lewis and Vassilis L. Syrmos, Optimal Control, 

John Wiley and Sons, Inc., 1995. 

2. Michael J. Grimble and Michael A. Johnson, Optimal 

Control and Stochastic Estimation : Theory and Aplications, 

Volume I, John Wiley & Sons, 1988 

3. Brian D.O. Anderson and John B. Moore, Optimal Control: 

Linear Quadratic Methods, Prentice-Hall, Inc., 1989. 


Tahun 2003/2004 

3

I.2. TF5113 Kontrol Proses 

Kode 

Kuliah 

TF5113 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 3 

Kuliah 


Kontrol Proses 

Process Control 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Pilihan 

Membahas konsep sistem kontrol proses, representasi dan 

pemodelan sistem-sistem fisis dengan model matematik dan 

hukum-hukum dasar, perancangan sistem kontrol proses dengan 

metoda kontrol konvensional, strategi kontrol proses lanjut, 

model-based predictive control, plant-wide control, representasi 

proses multivariabel, interaksi proses multivariabel, pengontrolan 

proses multivariabel, studi kasus penerapan sistem kontrol proses 

di industri 

References 

Acuan 

Introduction, physical systems modelling and representation 

using mathematical model and basic laws, design of process 

control system using conventional control strategies, advanced 

process control, model-based predictive control, plant-wide 

control, multivariable process representation, interaction in 

multivariable process, case studies 

1. William L. Luyben, Process Modelling, Simulation and 

Control for Chemical Engineers, 2nd. ed. McGraw-Hill, 

1990 

2. F.G. Shinskey, Process Control Systems : Application, 

Design and Tuning, McGraw-Hill, 1986. 

3. George Stephanopoulos, Chemical Process Control : An 

Introduction to Theory and Practice, Prentice Hall, 1984 

4. Morari, M and E. Zafiriou, Robust Process Control, Prentice- 

Hall, Inc., 1989 

5. Marlin, T.E., Process Control : Design Processes and 

Control Systems for Dynamic Performance, McGraw-Hill, 

1995 


Tahun 2003/2004 

4

I.3. TF5115 Instrumentasi Medik 

.Kode 

Kuliah 

TF5115 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 3 

Kuliah 


Instrumentasi Medik 

Medical Instrumentation 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Pilihan 

Konsep dasar instrumentasi medik, sensor dasar dan prinsipnya, 

amplifier dan pengolahan sinyal, sumber biopotensial, elektroda 

biopotensial, amplifier biopotensial, tekanan darah dan suara, 

pengukuran aliran darah dan volume darah, pengukuran pada 

sistem pernafasan, biosensor kimiawi, instrumentasi 

laboratorium klinik, sistem imaging medik, perangkat terapi dan 

prostetik, safety elektrik. 

References 

Acuan 

Basic principles of medical instrumentation, sensor and its 

principles, amplifier and signal processing; biopotential, 

electrode of biopotensial, amplifier of biopotential, blood and 

sound pressure, blood flow and volume measurement, 

measurement on respiratory system, chemical biosensor, 

instrumentation of clinical laboratorium, medical imaging 

system, theurapeutic and prostetic devices, electrical safety 

1. Webster (editor), Medical Instrumentation, Application and 

Design, Houghton Mifflin, 2 nd edition, 1992 

2. Cromwell Leslie, Weibel J. Fred, Pfeiffer A. Erich, 

Biomedical Instrumentation and Measurements, Prentice 

Hall, 2 nd edition, 1980 

3. Metin Akay, Biomedical signal Processing, Academic Press, 

1994 

4. Hudson L. Donna, Cohen E. Maurice, Neural Networks and 

Artificial Intelligence for Biomedical Engineering, Prentice 

Hall, 2001 


Tahun 2003/2004 

5

I.4. TF5212 Sistem Pakar 

Kode 

Kuliah 

TF5212 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 

2/4 

Kuliah 


Sistem Pakar 

Expert Systems 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Pilihan 

Pengantar inteligensia buatan dan sistem pakar; Pelacakan : teori 

graph, pelacakan exhaustive, pelacakan heuristic; Representasi 

pengetahuan : logika, aturan, pohon keputusan, jaringan 

semantik, frame dan objek, case-based reasoning; Manajemen 

ketidakpastian : persoalan ketidakpastian, pendekatan Bayes, 

faktor ketidakpastian; Rekayasa pengetahuan : siklus hidup, 

spesifikasi kebutuhan, akuisisi pengetahuan & verifikasi dan 

validasi; Pemrograman dan pembuatan prototipe sistem pakar 

References 

Acuan 

Introduction to artificial intelligence and expert systems; Search 

problem : graph theory, exhaustive search, heuristic search; 

Knowledge representation : logic, rules, decision tree, semantics 

network, frame and object, based reasoning; Management of 

uncertainty : uncertainty problem, Bayes approach, uncertainty 

factor; Knowlegde engineering : life cycle, specification of 

requirements, knowledge acquisition, verification and validation; 

Programming and prototype design of expert system 

1. Mike van Horn, Understanding Expert System, Bantam 

Book, 1986 

2. David W.Rolston, Principle of Artificial Intelligence and 

Expert System Development, ESL Inc. 

3. Louis E. Frenzel Jr., Crash Course in Artificial Intelligence 

and Expert System”, Howard W.Sams & Co.,1986 

4. Robert J. Schallkoff, Artificial Intelligence : An Engineering 

Approach, McGraw-Hill, 1990 

5. Elaine Rich and Kevin Knight, Artificial Intelligence, 

McGraw-Hill, 1991 


Tahun 2003/2004 

6

I.5. TF5214 Identifikasi Sistem 

Kode 

Kuliah 

TF5214 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 3 

Kuliah 

Matakuliah keahlian 

Identifikasi Sistem 

Systems Identification 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Pilihan 

Membahas konsep identifikasi sistem, penurunan model 

matematik secara teoritis dan eksperimental, masalah-masalah 

pada proses identifikasi suatu sistem, klasifikasi metoda 

identifikasi, metoda parametrik dan nonparametrik, identifikasi 

sistem multivariabel, contoh aplikasi, model matematik sistem 

dinamika dalam waktu kontinu dan diskrit, regresi linier, 

konvergensi dan konsistensi, metoda kuadrat terkecil, metoda 

rekursif (RLS), beberapa sifat estimator RLS, estimasi sistem 

dengan parameter yang berubah, validasi model dan estimasi 

struktur, identifikasi sistem lup tertutup, aspek-aspek praktis 

dalam identifikasi sistem 

References 

Acuan 

Introduction to systems identification, theortical and 

experimental based mathematical modelling, problems in system 

identification, classification of identification methods, 

parametrics and non-parametrics methods, multivariable system 

identification, application examples, mathematical model of 

dynamic systems in continous and discrete-time, linear 

regression, convergence and consistency, least-square method, 

recursive least-square (RLS), characteristics of RLS estimator, 

parameter estimation of time-variant systems, model validation 

and structure estimation, closed-loop identification, practical 

aspects in systems identification 

1. L. Ljung and T. Soderstrom, Theory and Practice of 

Recursive Identification, MIT Press, 1983 

2. L. Ljung, System Identification: Theory for the User, 

Prentice-Hall Inc., 1987. 

3. I.D. Landau, System Identification and Control Design, 

Prentice-Hall Inc., 1990 

4. G.E.P. Box and G.M. Jenkins, Time Series Analysis: 

Forecasting and Control, Revised Edition, Holden-Day, Inc., 

1976 


Tahun 2003/2004 

7

I.6. TF6111 Fisika Instrumentasi 

Kode 

Kuliah 

TF6111 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 1 

Kuliah 

MK Dasar Engineering 

Fisika Instrumentasi 

Physics of Instrumentation 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Wajib 

Atom dan tingkat energi, absorpsi dan emisi, pembangkit sinar 

laser. Efek Zeeman, resonansi magnetic inti dan penggunaanya. 

Pita energi semi konduktor, foto dioda, light emitting diode, laser 

dioda. Perambatan gelombang elektromagnetik, pandu 

gelombang. Gelombang elastik dalam bahan padat, cair, gas dan 

kaitannya dengan pengukuran. 

References 

Acuan 

Atom and energy level, absorption and emission, laser beam 

generator. Zeeman effect, core magnetic resonance and its 

application. Energy band of semiconductor, photodiode, light 

emitting diode, laser diode. Electromagnetic wave propagation, 

wave guide. Elastic wave in solid, fluid, gas and its relation with 

measurement. 

1. Arthur Beiser, Concepts of Modern Physics, 4 th edition, 

McGraw-Hill International, 1987 

2. Wildon and J.F.B. Hawkes, Optoelectronics : An 

Introduction, Prentice-Hall,1983 

3. William C. Elmore dan Mar.A. Heald, Physics of Waves, 

DoverPubl., 1985 


Tahun 2003/2004 

8

I.7. TF6113 Sistem Pengukuran 

Kode 

Kuliah 

TF6113 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

3 SKS 

Semester: 1 

Kuliah 


Sistem Pengukuran 

Measurement Systems 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Wajib 

Respons umum instrumen terhadap input periodik. Respons 

umum instrumen terhadap input transien. Spektrum frekuensi 

pada sinyal modulasi amplituda. Karakteristik sinyal random. 

Persyaratan fungsi transfer instrumen untuk hasil pengukuran 

yang akurat. Koreksi numerik untuk data dinamik. Instrumen 

Ukur: Seismic-pickup, accelerometer, jerk pick-up, sensor 

displacement dan kecepatan sudut gyroscopic, pengukuran gaya 

dan torsi gyroscopic, dinamika microphone, hotwire anemometer 

untuk pengukuran harga rata2 dan fluktuasi kecepatan aliran, alat 

ukur temperatur gas yang sangat tinggi, alat ukur temperatur 

dengan metoda radiasi. Masalah pada pengukuran temperatur 

aliran fluida. Intelijen sensor. 

References 

Acuan 

Response of instruments to periodic and transient inputs. 

Spectrum frequency of amplitude modulated signal. Random 

signal characteristics. Requirements of transfer function of an 

instrument for accurate measurement. Numerical correction for 

dynamic data. Measuring instruments : seismic-pickup, 

accelerometer, jerk pick-up, sensor displacement and angle 

displacement, gyroscopic angle velocity, force measurement and 

gyroscopic torque, dynamic of microphone, hotwire anemometer 

for average value measurement and flow velocity fluctuation, 

measuring device for very high temperature, temperature 

measurement based-on radiation method. Problems in 

temperature measurement of fluid flow. Intelligent sensors 

1. Ernest O. Doebelin, Measuring Systems : Design and 

Application, McGraw-Hill Book Co., 1990 

2. Ryoji Ohiba (editor), Intelligent Sensor Technology, John 

Wiley & Sons, 1992 

3. Bentley J.P., Principle of Measurement Systems, Longman 

Group Limited, 3 rd edition, 1985 

4. Yamasaki H. (editor), Handbook of Sensors and Actuators, 

Intelligent Sensors, vol. 3, Elsevier, 1996 


Tahun 2003/2004 

9

I.8. TF6115 Sistem Linier 

Kode 

Kuliah 

TF6115 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

3 SKS 

Semester: 1 

Kuliah 


Sistem Linier 

Linear Systems 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Wajib 

Konsep sistem linier; fungsi-fungsi singular, fungsi delta dengan 

argumen fungsi lain, hubungan input-output, konsep linieritas, 

kausalitas, relaxedness, stasionaritas, dekomposisi signal dalam 

fungsi-fungsi singular, respons sistem dengan integral konvolusi, 

evaluasi integral konvolusi, fungsi sistem dan representasi 

domain frekuensi, konvolusi diskrit dan transformasi Z, analisis 

persamaan ruang keadaan, pemodelan sistem linier menggunakan 

representasi ruang keadaan, bentuk-bentuk kanonik, diagonal dan 

Jordan, solusi persamaan ruang keadaan, transformasi, konsep 

keterkontrolan dan keteramatan, analisis sistem umpan balik 

variabel keadaan linier 

References 

Acuan 

Introduction, singular functions, delta function with other 

functions argument, input-output relation, linearity concepts, 

causality, relaxedness, stationarity, signal decomposition in 

singular functions, system response using convolution integral, 

evaluation of convolution integral, system function and frequency 

domain representation, discrete convolution amd z- 

transformation, state-space analysis, modelling of linear system 

using state-space representation, canonical forms, diagonal and 

Jordan forms, solution of state-space equation, transformation, 

controllability and observability, analysis of linear state variable 

feedback 

1. Gabel R.A. and Roberts R.A., Signal and Linier Systems, 

John Wiley & Sons, 1995. 

2. Michael O Flynn and Eugene Moriarty, Linear Systems: Time 

Domain and Transform Analysis, John Wiley & Sons, 1987. 

3. Thomas Kailath, Linear Systems, Prentice-Hall Inc., 1980 


Tahun 2003/2004 

10

I.9. TF6212 Teknik Optimasi 

Kode 

Kuliah 

TF 6212 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 2 

Kuliah 


Teknik Optimasi 

Optimization Technique 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Wajib 

Pendahuluan : tinjauan umum optimasi, perumusan fungsi 

obyektif, klasifikasi persoalan optimasi; Teknik Optimasi Klasik 

: analisis titik ektsremum, optimasi single variable, optimasi 

multivariabel tanpa kendala, optimasi multivariabel dengan 

kendala; Pemrograman Linier; Pemrograman Non-linear; 

Pemrograman Geometrik; Pemrograman Dinamik; Pemrograman 

Integer. 

References 

Acuan 

Introduction: general objectives of optimization, objective 

function formulation, classification of optimization problems. 

Classical optimization techniques : extremum point analysis, 

single-variable optimization, multivariable optimization with and 

without constraints. Linear programming. Dynamic 

programming. Integer programming. Introduction to nonlinear 

and stochastic programming. 

Jasbir S.Arora, Introduction to Optimum Design, McGraw-Hill, 

Inc.,1989 

1. S.S.Rao, Optimization : Theory and Application, 2 nd edition, 

Wiley Eastern Ltd.,1984 

2. Edgar and D.M. Himmelblau, Optimization of Chemical 

Processes, McGraw-Hill, Inc.,1989 

3. Saul I.Gass, Linear Programming,5 th edition,McGraww- 

Hill,Inc.,1985 

4. Alpha C. Chang, Elements of Dynamic Optimization, 

McGraw-Hill, Inc.,1992 


Tahun 2003/2004 

11

I.10. TF6214 Proses Stokastik 

Kode 

Kuliah 

TF6214 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 2 

Kuliah 


Proses Stokastik 

Stochastic Process 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Wajib 

Arti probabilitas, aksioma probabilitas, ruang probabilitas, 

probabilitas bersyarat, Bernoulli trials, teorema asimptotis, fungsi 

dan variabel acak, fungsi karakteristik, variabel acak dua 

dimensi, estimasi kuadrat rata-rata, proses stasioner, sistem 

dengan masukan stokastik, spektrum daya, ergodicity, estimasi 

spektral, korelasi. 

References 

Acuan 

Probability theory, probability axiom, probability space, 

probability with constraint, Bernoulli trials, asymptotic theorem, 

random variable and function, characteristics function, two 

dimensional random variable, least-square estimation, stationary 

process, system with stochastic input, power spectrum, 

ergodicity, spectral estimation, correlation 

1. Papoulis A., Probability, Random Variables, and Stohastic 

Processes, 3 rd Edition, McGraw-Hill, 1991. 

2. Gardner, W.A, Introduction to Random Processes: With 

Application to Signals and Systems, Macmillan Pub. Co., 

1986 


Tahun 2003/2004 

12

I.11. TF6216 Sistem Instrumentasi 

Kode 

Kuliah 

TF6216 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

3 SKS 

Semester: 2 

Kuliah 


Sistem Instrumentasi 

Instrumentation Systems 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Wajib 

Lingkup sistem instrumentasi. Karakteristik sistem instrumentasi 

yang tergantung pada karakteristik masing2 komponen, seperti 

sistem proses, sistem pengukuran, sistem kontrol, aktuator, dsb. 

Sistem kontrol terdistribusi (DCS). Instrumentasi pada berbagai 

industri. Instrumentasi pada sistem robot, sistem deteksi posisi 

target, sistem intelijen building, sistem pesawat udara. 

Instrumentasi intelijen: deteksi kesalahan sensor (perangkat lain), 

sistem redundansi. Reliability pada sistem instrumentasi: definisi 

notasi pada relibility sistem, sistem paralel dan serial, reliabilty 

pada sistem tanpa perbaikan dan sistem yang dapat diperbaiki, 

perhitungan reliability sistem instrumentasi dengan metoda 

pohon kesalahan dan metoda Markov. 

References 

Acuan 

Scope of instrumentation system. Characteristics of 

instrumentation system which depend on each components, i.e. 

process, measurement system, control system, actuator, etc.. 

Distributed Control System (DCS). Industrial instrumentation. 

Instrumentation in robotics, detection of targeted position, 

intelligent building, aeroplane, etc.. Intelligent instrumentation : 

detection of sensor error (other devices), redundancy system. 

Reliability in instrumentation system : definition, parallel and 

serial system, realibility for system repairable and unrepairable, 

reliability calculation of instrumentation system using error tree 

and Markov method 

Tasuku Senbon, Futoshi Hanabuchi, Instrumentation Systems, 

Fundamental & Application, Springer-Verlag, 1991 

1. Yamasaki H. (editor), Handbook of Sensors and Actuators, 

Intelligent Sensors, vol. 3, Elsevier, 1996 

2. Kececioglu Dimitri, Reliability Engineering Handbook, 

Volume 1 and 2, PTR Prentice Hall, 1991 


Tahun 2003/2004 

13

I.12. TF6218 Teori Kontrol Automatik 

Kode 

Kuliah 

TF6218 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

3 SKS 

Semester: 2 

Kuliah 


Teori Kontrol Automatik 

Automatic Control Theory 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Wajib 

Pengantar; Pemodelan sistem-sistem Fisis; Unjuk kerja dan 

analisis sistem, Aksi pengontrol PID dan analisis kesalahan; 

Stabilitas sistem kontrol, Metoda root-locus dan respons 

frekuensi; Pemodelan sistem dengan menggunakan metoda ruang 

keadaan, Konsep keterkontrolan dan keteramatan, Pengontrol 

umpan balik variabel keadaan; Penggunaan observer sebagai 

estimator variabel keadaan; Estimasi dan pemfilteran optimal; 

Kontrol optimal linier stokastik; Studi kasus penerapan kontrol 

automatik 

References 

Acuan 

Introduction; Physical system modelling; Performance and 

system analysis; PID controller action and error analysis; 

Stability of control system; Root-locus method and frequency 

response; System modelling using state-space representation; 

Controllability and observability; State-variable feedback; 

Estimation and optimal filtering; Linear stochastic optimal 

control; Case studies 

1. Ogata, K., Modern Control Engineering, Prentice-Hall Inc., 

Englewood Cliffs, New Jersey, 1997 

2. Kuo, B.C., Automatic Control Systems, Prentice-Hall Inc., 

Englewood Cliffs, New Jersey, 1997 

3. Friedland, B., Control System Design - An Introduction to 

State-Space Methods, McGraw-Hill, New York, 1986 

4. Lewis, F.L., Optimal Control, John Wiley and Sons Inc., 

New York, 1986 

5. Kwakernaak, H. and Sivan, R., Linear Optimal Control 

Systems, Wiley Interscience, New York, 1972 


Tahun 2003/2004 

14

I.13. TF70Z1 Penelitian I 

Kode 

Kuliah 

TF70Z1 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 

2/3 

Tesis 


Penelitian I 

Research I 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Wajib 

Pelaksanaan tahap awal tugas penelitian (Tesis) berdasarkan 

proposal penelitian yang telah disetujui pembimbing pada 

Semester I (Kuliah Metoda dan Manajemen Riset, TF8111). 

References 

Acuan 

Initial working of research project (thesis) based on research 

proposal which has been accepted by the supervisor at 1 st 

Semester (Course on Method and Management of Research, 

TF8111) 


Tahun 2003/2004 

15

I.14. TF70Z2 Penelitian II 

Kode 

Kuliah 

TF70Z2 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

4 SKS 

Semester: 

3/4 

Tesis 


Penelitian II 

Research II 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Wajib 

Lanjutan Penelitian I sampai dengan penyusunan laporan 

penelitian dan ujian hasil penelitian di depan tim penguji. 

References 

Acuan 

Continuation of Research I Course until the research report 

finalization and thesis presentation in the front of examinee. 


Tahun 2003/2004 

16

I.15. TF7111 Kontrol Adaptif 

Kode 

Kuliah 

TF7111 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 3 

Kuliah 


Kontrol Adaptif 

Adaptive Control 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Pilihan 

Pendahuluan: persoalan kontrol otomatik, struktur kontrol 

adaptif; Identifikasi Model Proses: struktur model, metoda 

kuadrat terkecil, identifikasi secara off-line dan rekursif; Model 

Reference Adaptive Control Systems; Self-tuning Regulator & 

Controller; Analisis Sistem Kontrol Adaptif; Kontrol Adaptif 

untuk Sistem Stokastik; Aspek-aspek dalam implementasi. 

References 

Acuan 

Introduction : problems of automatic control, structures in 

adaptive control; Identification of Process Model : model 

structure, least-square method, off-line and recursive 

identification; Model Reference Adaptive Control; Self-tuning 

Regulator and Controller; Analysis of Adaptive Control System; 

Adaptive Control for Stochastic Systems; Aspects in 

Implementation 

ID. Landau, Adaptive Control: The Model Reference Approach, 

Marcel Dekker, Inc., 1979 

1. KJ. Astrom and B. Witenmark, Adaptive Control, Addison- 

Wesley Pub Co., 1989 

2. KJ. Astrom and B. Wittenmark, Computer-Controlled 

Systems: Theory and Design, Prentice-Hall, Inc., 1990 

3. GC. Goodwin and KS. Sin, Adaptive Filtering, Prediction 

and Control, Prentice-Hall, Inc., 1984. 

4. Harijono A. Tjokronegoro, Kontrol Adaptif, Jurusan Teknik 

Fisika ITB, 1999 


Tahun 2003/2004 

17

I.16. TF7113 Sistem Inteligensia Buatan 

Kode 

Kuliah 

TF7113 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 3 

Kuliah 


Sistem Inteligensia Buatan 

Artificial Intelligence System 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Pilihan 

Pengertian inteligensia buatan, Bidang-bidang penelitian 

inteligensia buatan; Representasi pengetahuan : ekspresi logika, 

logika proposional dan kalkulus predikat, list dan struktur pohon, 

frame dan script, kaidah produksi; Teknik Pelacakan : teknik 

pelacakan trial and error, teknik pelacakan sistematis, teknik 

pelacakan vertikal dan horizontal, teknik pelacakan heuristik; 

Bahasa pemrograman prolog; Sistem pakar dan penggunaannya; 

Jaringan syaraf tiruan dan penggunaannya; Logika fuzzy dan 

penggunaannya. 

References 

Acuan 

Introduction, research areas of artificial intelligence; Knowledge 

representation ; logic expression, proportional logic and 

predicate calculus, list and tree structure, frame and script, 

production rules; Search Technique : search technique by trial 

and error, systematic search technique, vertical and horizontal 

search technique, heuristics search technique; Programming 

language Prolog; Expert Systems and ist application; Artificial 

Neural Network and its application; Fuzzy Logic and its 

application 

1. Rich and K. Knight, Artificial Intelligence, McGraw-Hill 

Book Co., 1991 

2. Kosko, Neural Networks and Fuzzy Systems, Prentice Hall, 

1992 

3. Frenzel Jr, L.E., Crash Course in Artifial Intelligence and 

Expert System, Howard W. Sams & Co., 1986 


Tahun 2003/2004 

18

I.17. TF722A Instrumentasi Ultrasonik 

Kode 

Kuliah 

TF722A 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 

2/4 

Kuliah 


Intrumentasi Ultrasonik 

Ultrasonic Instrumentation 

KBK/Bidang 

Keahlian: 

Fisika Bangunan dan 

Akustik 

Sifat: 

Pilihan 

Teori gelombang ultrasonik; Metoda-metoda pengukuran 

atenuasi dan kecepatan gelombang ultrasonik; Sistem dan 

perangkat pengukuran ultrasonik; Aplikasi ultrasonik di bidang 

instrumentasi dan kontrol; Pemrosesan sinyal ultrasonik. 

References 

Acuan 

Theory of utrasonic wave; Measurement methods of attenuation 

and speed of ultrasonic wave; Ultrasonic system and 

measurements devices; Ultrasonic application in the field of 

instrumentation and control; Ultrasonic signal processesing 

Kinsler, L.E., A.R. Frey, A.B. Coppens and J.V. Sanders, 

Fundamentals of Acoustics, John Wiley & Sons, Inc., New York, 

2000. 

Szilard, J., Ultrasonic Testing : Non-conventional Testing 

Techniques, John Wiley & Sons, New York, 1982. 

1. Charlesworth J.P. and Temple J.A.G., Engineering 

Applications of Ultrasonic Time-of-Flight Difraction, John 

Wiley & Sons Inc., New York, 1989. 

2. Fitting, D.W. and L. Adler; Ultrasonic Spectral Analysis for 

Non Destructive Evaluation, Plenum Press, New York, 1981. 

3. Lynnworth, L.C., Ultrasonic Flowmeter : Physical Acoustics, 

Vol. XIV, Academic Press, New York, 1979. 

4. Lynnworth, L.C., Industrial Application of Ultrasound : 

Measurements, Tests and Process Control Using Low 

Intensity Ultrasound, IEEE Transaction on Sonics and 

Ultrasound, Vol. SU-22, No. 2, March 1975. 

5. Berkhout, A.J., J. Ridder and L.F. van der Wal, Acoustical 

Imaging, Vol. 14, Plenum Press, New York, 1985. 


Tahun 2003/2004 

19

I.18. TF7212 Sistem Kontrol Nonlinier 

Kode 

Kuliah 

TF7212 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 

2/4 

Kuliah 


Sistem Kontrol Nonlinier 

Nonlinear Control Systems 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Pilihan 

Pengantar, model non-linier, analisis energi sistem nonlinier, 

kestabilan sistem nonlinier, metode Liapunov, sistem pasif, 

pengontrolan sistem pasif, contoh kasus 

References 

Acuan 

Introduction; nonlinear model; energy analysis of nonlinear 

system; stability analysis of nonlinear system; Lyapunov method; 

passive system; control of passive system; case studies 

Hasan A. Khalil, Nonlinear Systems, 2 nd Eds., Prentice Hall, 

1996. 

1. Romeo Ortega, et al, Putting Energy Back in Control, IEEE 

Control System Magazine, April 2001. 

2. Mark Tucherman, The Hamiltonian Formulation of Classical 

Mechanics, 

www.nyu.edu/class/tucherman/stat.mech/lectures/lecture_1/n 

ode4, 2002. 

3. Mark Tucherman, The Lagrangian Formulation of Classical 

Mechanics, 

www.nyu.edu/class/tucherman/stat.mech/lectures/lecture_1/n 

ode3, 2002. 


Tahun 2003/2004 

20

I.19. TF7214 Sistem Online dan Real-time 

Kode 

Kuliah 

TF7214 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 3 

Kuliah 


Sistem Online dan Real-time 

Online and Real-time Systems 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Pilihan 

Pengantar : konsep perancangan dan struktur pengembangan 

sistem kontrol waktu nyata; konfigurasi sistem kontrol 

berkomputer; perangkat keras untuk sistem kontrol waktu nyata; 

sistem kontrol digital langsung; sistem kontrol supervisory, 

terpusat, terdistribusi dan sekuensial; programmable logic 

controller; sistem operasi dan pemrograman waktu nyata; 

pemrograman konkuren, multiprogramming dan multitasking 

aspek operasi waktu nyata; bahasa waktu nyata; sistem 

komunikasi; konfigurasi dan protokol komunikasi; local area 

network; man-machine interface; contoh-contoh kasus 

References 

Acuan 

Introduction : design concepts and development structure of 

real-time control system; computer controlled system 

configuration; hardware for real-time control; direct digital 

control system; supervisory, centralized, distributed and 

sequential control system; programmable logic controller; 

operating system and real-time programming; concurrent 

programming; multiprogramming and multitasking; real-time 

language; communication system; configuration and 

communication protocol; local area network; man-machine 

interface; case studies 

1. Bennet S., Real-time Computer Control : An Introduction, 

Prentice-Hall Inc , 1988 

2. Olsson G. dan Piani G., Computer Systems for Automation and 

Control, Prentice-Hall Inc., 1992. 

3. Astrom K.J. and Wittenmark B., Computer Controlled Systems 

: Theory and Design, Prentice-Hall Inc., 1990 


Tahun 2003/2004 

21

I.20. TF8111 Metoda dan Manajemen Riset 

Kode 

Kuliah 

TF8111 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 1 

Kuliah 


Metoda dan Manajemen Riset 

KBK/Bidang 

Keahlian: 


Kontrol 

Method and Management of Research 

Sifat: 

Wajib 

Teknik menyusun proposal penelitian, teknik menulis laporan 

penelitian, teknik presentasi laporan penelitian, kode etika 

peneliti dan penelitian 

References 

Acuan 

Techniques in research proposal preparation; techniques in 

research report writing; techniques in research report 

presentation; researchers and research code of ethics 

1. Pedoman Format Penulisan Disertasi, Institut Teknologi 

Bandung, Pedoman Pascasarjana, 1998 

2. Pedoman Singkat Penyusunan Usulan Penelitian, Institut 

Teknologi Bandung, Program Pascasarjana, 1997 

3. Mike W.Martin, Roland Schinzinger, Ethics in Engineering, 

McGraw-Hill Co.,1996 


Tahun 2003/2004 

22

I.21. TF8113 Pemrosesan Sinyal Lanjut 

Kode 

Kuliah 

TF8113 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 3 

Kuliah 


Pemrosesan Sinyal Lanjut 

Advanced Signal Processing 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Pilihan 

Sinyal acak, konsep estimasi (MSE, MAP, MLE), estimasi 

spektral nonparametrik; pemodelan sinyal (AR, MA, ARMA), 

ruang keadaan, estimasi spektral parametrik, estimasi keadaan 

(Kalman Filter, Wiener Filter), konsep pemrosesan sinyal 

adaptif, estimasi parameter sinyal, estimasi spektral adaptif, 

adaptive noise rejection (adaptive noise canceling) 

References 

Acuan 

Random signal, concept of estimation (MSE, MAP, MLE), nonparametric 

spectral estimation, signal modeling (AR, MA, 

ARMA), state-space, parametric spectral estimation, state 

estimation (Kalman Filter, Wiener Filter), concept of adaptive 

signal processing, signal parameter estimation, adaptive spectral 

estimation, adaptive noise rejection (adaptive noise canceling) 

1. J.V.Candy, Signal Processing- The Modern Approach, 

McGraw-Hill Book Co., 1988 

2. S.J.Orfanidis, Optimum Signal Processing, Prentice- 

Hall,Inc., 1988 

3. Harijono A.Tjokronegoro, Pengolahan Sinyal, Catatan 

Kuliah, Jurusan Teknik Fisika ITB,1999 


Tahun 2003/2004 

23

I.22. TF8115 Pemodelan dan Simulasi 

Kode 

Kuliah 

TF8115 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 3 

Kuliah 


Pemodelan dan Simulasi 

Modeling and Simulation 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Pilihan 

Dasar pemodelan dan simulasi. Macam model matematis system 

: diskrit dan kontinu. Pemodelan dan simulasi sistem diskrit : 

sistem antrean, pemilihan distribusi probabilitas, generator 

random number, analisis data untuk sistem tunggal, studi kasus. 

Pemodelan dan simulasi sistem kontinu : representasi matematis 

untuk sistem fisika kontinu, model matematis sistem enjinering 

kimiawi, simulasi komputer, identifikasi proses. Formulasi 

persamaan keadaan diskrit dari persamaan keadaan kontinu, 

integrator diskrit sebagai elemen transfer. Metoda operasional 

untuk mensimulasikan sistem linier stasioner. Aplikasi metoda 

operasional pada sistem nonlinier dan sistem yang time varying. 

Basic modeling and simulation. Mathematical model of system : 

discrete and continous. Modeling and simulation of discrete 

systems : queuing system, probability distribution, random 

number generatir, data analysis for single systems, case studies. 

Modeling and simulation of continous syetms : mathematical 

representation of continous physical systems, mathematical 

model of chemical systems; computer simulation, process 

identification. Formulation of discrete-time equation from 

continous time equation, discrete-time integrator as transfer 

element. Operational method for simulation stationary linear 

system. Application of operational method to the nonlinear 

system and time-varying systems 


Tahun 2003/2004 

24

eferences 

Acuan 

1. Joseph S. Rosko, Digital Simulation of Physical Systems, 

Addison Wesley Publ .Co., 1972. 

2. Jon M. Smith, Mathematical Modeling and Digital 

Simulation for Engineers and Scientists, John Wiley & Sons, 

1976. 

3. Law A.M., Kelton D.W., Simulation Modeling and Analysis, 

2 nd edition, McGraw-Hill International Edition, 1991 

4. Lowen Shearer, Arthur T. Murphy and Herbert H. 

Richardson, Introduction to System Dynamics, Addison- 

Wesley Pub. Co., 1971. 

5. Law A.M. & Hilton W.D. Simulation, Modelling & Analysis, 

McGraw-Hill International Edition 


Tahun 2003/2004 

25

I.23. TF8212 Estimasi dan Pemfilteran 

Kode 

Kuliah 

TF8212 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 4 

Kuliah 


Estimasi dan Pemfilteran 

Estimation and Filtering 

KBK/Bidang 

Keahlian: 


Kontrol 

Sifat: 

Pilihan 

Pendahuluan : model linier; estimasi Kuadrat Terkecil; best 

linear unbiased estimation, maximum likelihood estimation; 

maximum a-posteriori estimation; estimasi keadaan : prediction, 

filtering (Kalman Filter), smoothing. 

References 

Acuan 

Introduction : linear model; Least Square estimation; best linear 

unbiased estimation, maximum likelihood estimation; maximum 

a-posteriori estimation; state estimation: prediction, filtering 

(Kalman Filter), smoothing 

BDO. Anderson and JB. Moore, Optimal Filtering, Prentice- 

Hall, Inc., 1979 

1. Peter S. Maybeck, Stochastics Models, Estimation, and 

Control, Academic Press, 1979 


Tahun 2003/2004 

26

I.24. TF8242 Instrumentasi Optik dan Laser 

Kode 

Kuliah 

TF8242 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 3 

KBK/Bidang 

Keahlian: 

Optik 

Kuliah 


Instrumentasi Optik dan Laser 

Optical Instrumentation and Laser 

Sifat: 

Pilihan 

Film fotografi: karakteristik film, kegunaan film; Aplikasi sinar 

laser : sifat sinar laser, pemanfaatan sifat terarah, perambatan 

melalui distribusi indeks bias, giroskop laser; Holografi : 

pembentukan hologram, jenis-jenis hologram, holografi 

interferometri, pembentukan kontur obyek; Sensor serat optik : 

prinsip serat optik, sensor extrinsik, sensor intrinsik, giroskop 

serat optik. 

References 

Acuan 

Photography film : film characteristics, the use of film; Laser 

beam application; characteristics of laser beam, coherency 

characteristics, propragation through bias index distribution, 

laser gyroscope; Holography : hologram forming, type of 

hologram, interferometry holography, forming contour of an 

object; Fiber optics sensor : principles, extrinsic and intrinsic 

sensors, fiber optics gyroscope 

1. Yu dan I.C. Khoo, Principles of Optical Engineering, John 

Wiley & Sons, Singapore (1990) 

2. Lizuka, Engineering Optics, Springer-Verlag, Berlin (1987) 

3. Krohn, Fiber Optic Sensors, Instrument Society of America, 

Triangle Park (1988) 


Tahun 2003/2004 

27

I.25. MA6173 Matematika Lanjut 

Kode 

Kuliah 

MA6173 

Sifat kuliah 


Course Title 

(Indonesian) 


Course Title 

(English) 




Kredit : 

2 SKS 

Semester: 1 

Kuliah 

MK Dasar Science 

Matematika Lanjut 

Advanced Mathematics 

KBK/Bidang 

Keahlian: 

Umum 

Sifat: 

Wajib 

Keilmuan kontrol atau kendali seringkali memodelkan sistem 

dalam bentuk sistem dinamik yang dinyatakan dalam sebuah 

sistem persamaan diferensial. Dengan dasar ini, kami 

berpendirian bahwa peserta program magister yang menggeluti 

bidang kontrol sudah selayaknya memahami dasar-dasar sistem 

persamaan diferensial. Pada saat yang sama, kami sadar bahwa 

pemahaman dalam sistem persamaan diferensial perlu didukung 

beberapa dasar matematika seperti aljabar linear dan kalkulus 

vektor. Oleh karenanya, dalam kuliah ini, peserta diharapkan 

mampu mengembangkan pemahamannya pada dasar-dasar 

matematika lanjut di atas serta mengaitkan pemahaman tersebut 

pada sistem kontrol. Khususnya, peserta dapat membekali 

dirinya dalam pengetahuan serta ketrampilan yang berkaitan 

dengan solusi sistem persamaan diferensial linear. 

References 

Acuan 

The knowledge of control often needs to model the system in the 

form of dynamical system represented in system of differential 

equation. Based on this, the students of the magister program 

concentrating with the control subject have to understand the 

basic of system of differential equation. At the same time, the 

understanding on system of differential equation should be 

supported by some basic of mathematics such as linear algebra 

and vector of calculus. Therefore, in this subject, the students are 

expected to develop their understanding on the above basics of 

advanced mathematics and relate the understanding with the 

control system. In particular, the students should enhance 

themselves with the knowledge and skills related with the 

solution of system of linear differential equation 

1. Perko, L., Differential Equations and Dynamical Systems, 

Text in Applied Mathematics, 7, Springer-Verlag 


Tahun 2003/2004 

28

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