Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
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The use <strong>of</strong> similar techniques for the analysis <strong>of</strong> discrete time<br />
control systems. The effect <strong>of</strong> sampling rate on the transient<br />
response and stability <strong>of</strong> a discrete time control system.<br />
Textbook<br />
Dorf. R.C. Modern Control Systems. 6th edn, Reading, Mass., Addison-<br />
Wesley, 1992<br />
References<br />
Franklin, Powell, Workman. Digital Control <strong>of</strong> Dynamic Systems. 2nd<br />
edn, Reading, Mass., Addison-Wesley, 1990<br />
Ogata, K. Modern Control Engineering. 2nd edn, Englewood Cliffs,<br />
N.J., Prentice Hall, 1990<br />
~~748 Computer Control <strong>of</strong> Dynamic<br />
Systems<br />
No. <strong>of</strong> hours per week: four hours<br />
Prerequisites: satisfactory completion <strong>of</strong> the first<br />
year <strong>of</strong> the graduate diploma course in computer<br />
systems engineering or a four year degree in<br />
engineeringhcience<br />
Instruction: lecture/tutorials/laboratory<br />
Assessment: laboratory exercised<br />
assignmentdtests<br />
Subject aims<br />
To review the design techniques used to design a closed loop<br />
$ control system to meet a set <strong>of</strong> specifications. To extend the<br />
design techniques to discrete time control systems and to<br />
develop computer algorithms to emulate real time<br />
compensators and filters.<br />
vl<br />
4. Subject description<br />
Specification <strong>of</strong> performances from a time domain and<br />
- rn frequency domain point <strong>of</strong> view. Steady state error and<br />
rn<br />
3 parameter sensitivity. Classical and state space techniques for<br />
%. designing lead, lag and PID controllers or feedback<br />
compensators, including low pass filters for reduction <strong>of</strong> the<br />
?.<br />
noise content <strong>of</strong> signals.<br />
ln<br />
a, The above techniques applied to a discrete time control<br />
3<br />
a system. S<strong>of</strong>tware compensators to perform the PID task and<br />
." to behave as a low pass filter.<br />
5.<br />
r9 Modern application <strong>of</strong> digital control <strong>of</strong> an induction motor<br />
3<br />
driven by a variable frequency inverter.<br />
References<br />
Dorf, R.C. Modern Control Systems. 6th edn, Reading, Mass..<br />
Addison-Wesley, 1992<br />
Franklin, Powell, Workman. Digital Control <strong>of</strong> Dynamic Systems. 2nd<br />
edn, Reading, Mass., Addison-Wesley, 1990<br />
Ogata, K. Modern Control Engineering. 2nd edn, Englewood Cliffs,<br />
N.J., Prentice Hall, 1990<br />
~~749 Communication Networks<br />
No. <strong>of</strong> hours per week: four hours<br />
Prerequisites: satisfactory completion <strong>of</strong> the first<br />
year <strong>of</strong> the graduate diploma course in computer<br />
systems engineering or a four year degree in<br />
engineeringkience<br />
Instruction: lecture/tutorial/laboratory<br />
Assessment: laboratory exercised<br />
assignments/tests<br />
Subject aims<br />
The aim <strong>of</strong> this subject is for students to develop a sound<br />
understanding <strong>of</strong>:<br />
the basic nature <strong>of</strong> traffic in voice, data and integrated services<br />
networks;<br />
performance parameters used in network design;<br />
issues involved in realising required system performances;<br />
resource management and optimal use <strong>of</strong> resources;<br />
mixed traffic types and their effect on resources;<br />
the influence <strong>of</strong> integrated services on computer and<br />
communications networks.<br />
Subject description<br />
Teletraffic engineering: the nature <strong>of</strong> traffic and its demand for<br />
network resources.<br />
Network topological structures.<br />
Routing and flow control in circuit switched networks.<br />
Message switched networks.<br />
Routing and flow control in packet switched networks.<br />
Token ring protocols.<br />
Random access protocols.<br />
Integrated voice, data and video networks.<br />
Network management and optimal use <strong>of</strong> resources.<br />
Mobile communications networks overview. Propagation,<br />
static and dynamic channel assignment, traffic control.<br />
Mobility issues in integrated services networks. Intelligent<br />
network services overview.<br />
References<br />
Girard, Andre. Routing and Dimensioning in Circuit-Switched<br />
Networks. Reading, Mass., Addison-Wesley, 1990<br />
Prycker, Martin, de. Asynchronous Transfer Mode -Solution for<br />
Broadband ISDN. New York, Ellis Horwood Ltd., 1991<br />
Schwartz, Mischa. Telecommunication Networks: Protocols, Modelling<br />
and Analysis. Reading, Mass., Addison-Wesley, 1987<br />
Spragins, J.D., Hammond, J.L. and Pawlikowski, K.<br />
Telecommunications: Protocols and Design. Reading, Mass., Addison-<br />
Wesley, 1991<br />
This list <strong>of</strong> books will be complemented by reference to specialist<br />
research papers<br />
EE750<br />
Digital Spectral Estimation<br />
No. <strong>of</strong> hours per week: four hours<br />
Prerequisites: satisfactory completion <strong>of</strong> the first<br />
year <strong>of</strong> the Graduate Diploma in Computer<br />
Systems Engineering or a four year degree in<br />
engineering/science<br />
Instruction: lecture/tutorialAaboratory<br />
Assessment: assignmenVprojecVtests<br />
Subject aims<br />
To introduce the principles and techniques used in performing<br />
digital power spectral estimation.<br />
Subject description<br />
The following topics will be covered:<br />
principles <strong>of</strong> multirate digital signal processing<br />
estimation <strong>of</strong> spectra from finite-duration observation<br />
<strong>of</strong> signals<br />
nonparametric methods for power spectrum estimation<br />
parametric methods for power spectrum estimation<br />
minimum variance spectral estimation<br />
eigenanalysis algorithms for spectrum estimation.<br />
References<br />
Printed lecture material.<br />
Kay, S.M. Modern Spectral Estimation: Theory and Application.<br />
Englewood Cliffs, Prentice Hall. 1988<br />
Proakis, J.G. and Manoklakis, D.G. Digital Signal Processing:<br />
Principles, Algorithms and Applications. 2nd edn, New York,<br />
Macmillan, 1992