Implementation of Self-tuning Controllers
This text is an extremely useful guide for those wishing to investigate the application of self-tuning control systems. The contents have been chosen in order to restrict the amount of theoretical detail to that necessary for explanation purposes, whilst application examples and programming suggestions are highlighted. The overall text 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. Parameter estimation, numerical solutions and software aspects are all considered at length, while simplified procedures and predictive self-tuning schemes are shown in terms of fundamental concepts.

The level of the book is such that practising control engineers and postgraduate or final year control, engineering or cybernetics students would find it most suitable. A certain amount of basic digital/sampled data control systems terminology is assumed, although this does not mean that the reader needs to be familiar with more mathematical ideas, such as discrete transform methods or statistical theory. The text could be used as the foundation of a Masters course module, particularly if an emphasis is placed on the practical aspects of self-tuning control.

The book is an ideal source for those interested in self-tuning and adaptive control, and contains many useful suggestions for future trends, research directions and implementation/ application possibilities.

1003287093
Implementation of Self-tuning Controllers
This text is an extremely useful guide for those wishing to investigate the application of self-tuning control systems. The contents have been chosen in order to restrict the amount of theoretical detail to that necessary for explanation purposes, whilst application examples and programming suggestions are highlighted. The overall text 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. Parameter estimation, numerical solutions and software aspects are all considered at length, while simplified procedures and predictive self-tuning schemes are shown in terms of fundamental concepts.

The level of the book is such that practising control engineers and postgraduate or final year control, engineering or cybernetics students would find it most suitable. A certain amount of basic digital/sampled data control systems terminology is assumed, although this does not mean that the reader needs to be familiar with more mathematical ideas, such as discrete transform methods or statistical theory. The text could be used as the foundation of a Masters course module, particularly if an emphasis is placed on the practical aspects of self-tuning control.

The book is an ideal source for those interested in self-tuning and adaptive control, and contains many useful suggestions for future trends, research directions and implementation/ application possibilities.

145.0 In Stock
Implementation of Self-tuning Controllers

Implementation of Self-tuning Controllers

Implementation of Self-tuning Controllers

Implementation of Self-tuning Controllers

Overview

This text is an extremely useful guide for those wishing to investigate the application of self-tuning control systems. The contents have been chosen in order to restrict the amount of theoretical detail to that necessary for explanation purposes, whilst application examples and programming suggestions are highlighted. The overall text 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. Parameter estimation, numerical solutions and software aspects are all considered at length, while simplified procedures and predictive self-tuning schemes are shown in terms of fundamental concepts.

The level of the book is such that practising control engineers and postgraduate or final year control, engineering or cybernetics students would find it most suitable. A certain amount of basic digital/sampled data control systems terminology is assumed, although this does not mean that the reader needs to be familiar with more mathematical ideas, such as discrete transform methods or statistical theory. The text could be used as the foundation of a Masters course module, particularly if an emphasis is placed on the practical aspects of self-tuning control.

The book is an ideal source for those interested in self-tuning and adaptive control, and contains many useful suggestions for future trends, research directions and implementation/ application possibilities.

Product Details

ISBN-13: 9780863411274
Publisher: The Institution of Engineering and Technology
Publication date: 06/30/1988
Series: Control, Robotics and Sensors
Pages: 324
Product dimensions: 6.14(w) x 9.21(h) x (d)

About the Author

Kevin Warwick was previously a Senior Lecturer in the Department of Engineering, Universityof Warwick. However, in August 1988 he took up the Professorship of Cybernetics and became Head of the Department of Cybernetics, Universityof Reading. He has previously held appointments at Oxford University, Imperial College, London and Newcastle Universityas well as being employed by British Telecom for six years. Dr. Warwick is a Chartered Engineer and serves on the Artificial Intelligence and Control and Systems Theory committees of the IEE, previously acting as a chairman for the latter. He is co-editor of the successful book 'Industrial digital control systems', which is an earlier volume in the series.

He has published over seventy papers in the areas of his research interests which include system identification, adaptive control and state-space design. The main thrust of his present research lies in the field of intelligent control systems, with particular emphasis on high performance environments, such as sensor based robot control and autonomous vehicles.

Table of Contents

  • 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
From the B&N Reads Blog
Page 1 of

Related Subjects

Science & Technology
Engineering
Technology
Engineering Technology
Telecommunications
Machinery - General & Miscellaneous
Telecommunications Technology
Self-tuning controllers
Science & Technology
Engineering
Technology
Engineering Technology
Telecommunications
Machinery - General & Miscellaneous
Telecommunications Technology
Self-tuning controllers

Customer Reviews