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Adaptive systems in control and signal processing, 1989
selected papers from the 3rd IFAC Symposium, Glasgow, UK, 19-21 April 1989
International Federation of Automatic Control
IFAC Symposium on Adaptive Systems in Control and Signal Processing 1989 : Glasgow, Scotland)
Published for the International Federation of Automatic Control by Pergamon Press
1 online resource (xv, 610 pages) : illustrations
The Symposium covered three major areas: adaptive control, identification and signal processing. In all three, new developments were discussed covering both theoretical and applications research. Within the subject area of adaptive control the discussion centred around the challenges of robust control design to unmodelled dynamics, robust parameter estimation and enhanced performance from the estimator, while the papers on identification took the theme of it being a bridge between adaptive control and signal processing. The final area looked at two aspects of signal processing: recursive estimation and adaptive filters.
Front Cover; Adaptive Systems in Control and Signal Processing 1989; Copyright Page; PREFACE; Table of Contents; CHAPTER 1. ADAPTIVE CONTROL-A PERSPECTIVE; 1. Introduction; 2. The Industrial Scene; 3· Adaptive Control Theory; 4. Reassessment of the MRAS; 5· Robust Control; 6. Conclusions; 7 · References; CHAPTER 2. UNCERTAINTY, INFORMATION AND ESTIMATION; 1. INTRODUCTION; 2. THE ROLE OF FEEDBACK IN REDUCINGTHE IMPACT OF UNCERTAINTY; 3. ESTIMATION; 4. QUANTIFICATION OF A POSTERIORI UNCERTAINTY; 5. EXAMPLES; 6. IMPLICATIONS FOR ADAPTIVE CONTROL; 7. CONCLUSIONS; 8. ACKNOWLEDGEMENT; REFERENCES
CHAPTER 5. THE USE OF DISTURBANCE MEASUREMENTFEEDFORWARD IN LQG SELF-TUNERS1 Introduction; 2 The control problem; 3 The optimal regulator; 4 The LQG self-tuner; 5 Robustness-improving user choices; 6 Conclusions; References; CHAPTER 6. MULTIVARIABLE LQG SELF-TUNING CONTROL WITH DISTURBANCEMEASUREMENT FEEDFORWARD; NOTATION; 1. INTRODUCTION; 2. SYSTEM MODEL AND COSTFUNCTION; 3. OPTIMAL CONTROLLER; 4. IMPLIED POLYNOMIAL MATRIX EQUATIONS; 5. MULTIVARIABLE LQG SELFTUNING CONTROL ALGORITHM WITH DISTURBANCE MEASUREMENT FEEDFORWARD; 6. APPLICATION RESULTS; ACKNOWLEDGEMENTS; REFERENCES
CHAPTER 7. IMPROVEMENT OF THE TRACKING PROPERTY FOR THE LINEAR QUADRATIC ADAPTIVE CONTROLLERINTRODUCTION; LINEAR QUADRATIC ADAPTIVE CONTROLLER; IMPROVEMENT OF THE TRACKING PROPERTY; NUMERICAL RESULTS; EXPERIMENTAL RESULTS; CONCLUSION; REFERENCES; CHAPTER 8. OPTIMAL CONTROL REDESIGN OFGENERALIZED PREDICTIVE CONTROL; 1. Introduction; 2. Generalized Predictive Control as Optimal Control; 3· Stability and Performance Properties of Receding Horizon LQ Control; 4· Reassessment of GPC; 5. Conclusion; References; CHAPTER 9. INPUT-OUTPUT REPRESENTATION OF PREDICTIVE CONTROL ALGORITHMS; INTRODUCTION
DESCRIPTION OF GENERALIZED PREDICTIVE CONTROLPREDICTION OF FUTURE CONTROL-ERRORS; SOLUTION OF THE OPTIMIZATION-PROBLEM; TRANSFER-FUNCTIONS OF GPC; SPECIAL CASE: UNITY CONTROL-HORIZON; SIMULATION RESULTS; CONCLUSIONS AND FURTHER SUGGESTIONS; REFERENCES; APPENDIX A; CHAPTER 10. MULTIRATE SELF-TUNING CONTROL OF MULTIVARIABLE SYSTEMS; Introduction; System and Sampling Model; Control algorithm; Simulation examples; Conclusions; References; CHAPTER 11. CONTINUOUS-TIME GENERALIZED PREDICTIVE CONTROL (CGPC); INTRODUCTION; THE CGPC ALGORITHM; SIMULATIONS; CONCLUSIONS; REFERENCES
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Includes bibliographical references and index.
Oxford [England] ; New York : Published for the International Federation of Automatic Control by Pergamon Press, 1990