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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

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