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.
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.
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
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
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