EE8008 - SYSTEM IDENTIFICATION AND ADAPTIVE CONTROL (Syllabus) 2017-regulation Anna University

EE8008

SYSTEM IDENTIFICATION AND ADAPTIVE CONTROL

 LTPC

3003

OBJECTIVES: To impart knowledge about the following topics:
• The concept of system identification and adaptive control
• Black-box approach based system identification
• Batch and recursive identification
• Computer Controlled Systems
• Design concept for adaptive control schemes

UNIT I

NON-PARAMETRIC METHODS

9

Non-parametric methods - Transient analysis - frequency analysis - Correlation analysis - Spectral analysis - Input signal design for identification

UNIT II

PARAMETRIC METHODS

9

Least squares estimation – Analysis of the least squares estimate - Best linear unbiased estimate – Model parameterizations - Prediction error methods.


UNIT III

RECURSIVE IDENTIFICATION METHODS

9

The recursive least square method - Model validation –Model structure determination - Introduction to closed loop system identification.

UNIT IV

ADAPTIVE CONTROL SCHEMES

9

Introduction – Auto-tuning of PID controller using relay feedback approach – Types of adaptive control, Gain scheduling, Model reference adaptive control, Self–tuning controller – Design of gain scheduled adaptive controller – Applications of gain scheduling.

UNIT V

MODEL-REFERENCE ADAPTIVE SYSTEM (MRAS) and SELF-TUNING REGULATOR (STR)

9

STR – Pole placement design – Indirect STR and direct STR – MRAC - MIT rule – Lyapunov theory – Relationship between MRAC and STR.

TOTAL: 45 PERIODS

OUTCOMES:
• Ability to understand various system identification techniques and features of adaptive control like STR and MRAC.
• Ability to understand the concept of system identification and adaptive control
• Ability to understand about Black-box approach based system identification
• Ability to get knowledge about batch and recursive identification
• Ability to study about computer controlled systems
• Ability to design concept for adaptive control schemes

TEXT BOOKS:
1. T. Soderstrom and PetreStoica, System Identification, Prentice Hall International (UK) Ltd. 1989
2. Karl J. Astrom and Bjorn Witten mark, Adaptive Control, Pearson Education, Second edition, Fifth impression, 2009.

REFERENCES:
1. L. Ljung, System Identification - Theory for the User, 2nd edition, PTR Prentice Hall, Upper Saddle River, N.J., 1999.
2. K. S. Narendra and A. M. Annaswamy, Stability Adaptive Systems, Prentice-Hall, 1989.
3. H. K. Khalil, Nonlinear Systems, Prentice Hall, 3rd edition, 2002.
4. William S.Levine, “Control Systems Advanced Methods, the Control Handbook, CRC Press 2011.
5. S. Sastry and M. Bodson, Adaptive Control, Prentice-Hall, 1989

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