EE2029 SYSTEM IDENTIFICATION AND ADAPTIVE CONTROL SYLLABUS | ANNA UNIVERSITY BE EEE 8TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY 8TH SEMESTER B.E ELECTRICAL AND ELECTRONICS ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
EE2029 SYSTEM IDENTIFICATION AND ADAPTIVE CONTROL L T P C
3 0 0 3
UNIT I PARAMETRIC METHODS 5
Nonparametric methods: Transient analysis-frequency analysis-Correlation analysis- Spectral
analysis.
UNIT II PARAMETRIC METHODS 10
Linar Regression: The Lease square estimate-best liner unbiased estimation under linear
constraints- updating the Parameter estimates for linear regression models-Prediction error
methods: Description of Prediction error methods-Optimal Prediction – relationships between
Prediction error methods and other identification methods-theoretical analysis.
Instrumental variable methods: description of Instrumental variable methods-theoretical analysiscovariance
matrix of IV estimates- Comparison of optimal IV prediction error methods.
UNIT III RECURSIVE IDENTIFICATION METHODS 10
The recursive lest squares method-the recursive Instrument variable method-the recursive prediction
error method-model validation and model structure determination.
Identification of systems operating in closed loop: Identifiability considerations-direct identification-
Indirect identification-joint input – output identification.
UNIT IV ADAPTIVE CONTROL SCHEMES 10
Introduction – users- Definitions-auto tuning-types of adaptive control-gain scheduling controllermodel
reference adaptive control schemes – self tunning controller. MRAC and STC : Approaches –
The Gradient approach – Lyapunov functions – Passivity theory – pole placement method Minimum
variance control – Predictive control.
102
UNIT V ISSUES IN ADAPTIVE CONTROL AND APPLICATION 10
Stability – Convergence – Robustness – Application of adaptive control.
TOTAL : 45 PERIODS
TEXT BOOKS
1. Soderstorm.T and Petre stioca, System Identification, Prentice Hall International (UK) Ltd.
1989.
2. Karl J.Astrom and Bjorn Wittenmark, Adaptive Conrol, Pearson Education, 2nd Editon, 2001.
REFERENCES
1. Ljung,L.System Identification: Theory for the user, Pretice Hall, Englewood cliffs, 1987.
2. Sastry S. and Bodson M., Adaptive control – stability, Convergence ad Robustness,
Prentice Hall inc., New Jersey, 12989.
EE2029 SYSTEM IDENTIFICATION AND ADAPTIVE CONTROL L T P C
3 0 0 3
UNIT I PARAMETRIC METHODS 5
Nonparametric methods: Transient analysis-frequency analysis-Correlation analysis- Spectral
analysis.
UNIT II PARAMETRIC METHODS 10
Linar Regression: The Lease square estimate-best liner unbiased estimation under linear
constraints- updating the Parameter estimates for linear regression models-Prediction error
methods: Description of Prediction error methods-Optimal Prediction – relationships between
Prediction error methods and other identification methods-theoretical analysis.
Instrumental variable methods: description of Instrumental variable methods-theoretical analysiscovariance
matrix of IV estimates- Comparison of optimal IV prediction error methods.
UNIT III RECURSIVE IDENTIFICATION METHODS 10
The recursive lest squares method-the recursive Instrument variable method-the recursive prediction
error method-model validation and model structure determination.
Identification of systems operating in closed loop: Identifiability considerations-direct identification-
Indirect identification-joint input – output identification.
UNIT IV ADAPTIVE CONTROL SCHEMES 10
Introduction – users- Definitions-auto tuning-types of adaptive control-gain scheduling controllermodel
reference adaptive control schemes – self tunning controller. MRAC and STC : Approaches –
The Gradient approach – Lyapunov functions – Passivity theory – pole placement method Minimum
variance control – Predictive control.
102
UNIT V ISSUES IN ADAPTIVE CONTROL AND APPLICATION 10
Stability – Convergence – Robustness – Application of adaptive control.
TOTAL : 45 PERIODS
TEXT BOOKS
1. Soderstorm.T and Petre stioca, System Identification, Prentice Hall International (UK) Ltd.
1989.
2. Karl J.Astrom and Bjorn Wittenmark, Adaptive Conrol, Pearson Education, 2nd Editon, 2001.
REFERENCES
1. Ljung,L.System Identification: Theory for the user, Pretice Hall, Englewood cliffs, 1987.
2. Sastry S. and Bodson M., Adaptive control – stability, Convergence ad Robustness,
Prentice Hall inc., New Jersey, 12989.
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