Implementation of Self Tuning Controller (I E E Control Engineering Series)

Recursive estimation schemes for self-tuning control. LOG based self-tuning controllers. Simplified self-tuning control algorithms. Implementation of continuous-time controllers. Numerical problems in adaptive control. Self-tuning control using extended prediction horizons. Software aspects of self-tuning control. Application of long range predictive control. Self adaptive state variable feedback control with application to glasshouse systems. Self-tuning control - a case study. LQG adaptive autopilots Content: * Chapter 1: Introduction to self-tuning control * Chapter 2: RLS based estimation schemes for self-tuning control * Chapter 3: LQG based self-tuning controllers * Chapter 4: Numerical algorithms in self-tuning control * Chapter 5: Simplified algorithms for self-tuning control * Chapter 6: A unified approach to adaptive control * Chapter 7: Implementation of continuous-time controllers * Chapter 8: Software aspects of self-tuning control * Chapter 9: Multistep predictive control and adaptation * Chapter 10: Application of extended prediction self-adaptive control * Chapter 11: Self-tuning and self-adaptive PIP control systems * Chapter 12: LQG adaptive autopilots * Chapter 13: Self-tuning control: Case studies This book has 13 chapters. The first chapter of this book not only provides an overview of the scope and generality provided by self-tuning control schemes, but also indicates where such a scheme might be of benefit and how it complements and augments other control techniques. Chapters 2-5 discuss the basic ideas behind self-tuning control techniques; identification/ parameter estimation (chapter 2), optimal controller design (chapter 3), numerical considerations (chapter 4) and simplified methods (chapter 5). Chapters 6-9 discuss advances in the framework employed for self-tuning control; the delta operator (chapter 6), continuous-time control (chapter 7), software aspects (chapter 8) and predictive control (chapter 9). Chapters 10-13 are concerned with detailed application examples of; predictive control (chapter 10), PIP control (chapter 11), LQG optimal control (chapter 12) and various SISO/MIMO case studies (chapter 13) This book is suitable for those wishing to gain the flavour of adaptive control, although those already familiar with selftuning techniques will find the problem solutions discussed to be most attractive.