Implementation of self-tuning controllers / edited by Kevin Warwick.
Contributor(s): Warwick, K
| Institution of Electrical Engineers.
Material type: 
BookSeries: IEE control engineering series ; 35.Publisher: London : P. Peregrinus on behalf of the Institution of Electrical Engineers, 1988Description: x, 311 p. : ill. ; 24 cm.ISBN: 0863411274 .Subject(s): Self-tuning controllersDDC classification: 629.836
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| General Lending | MTU Bishopstown Library Store Item | 629.836 (Browse shelf(Opens below)) | 1 | Available | 00028287 |
Enhanced descriptions from Syndetics:
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.
ed, 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.
ed, 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.
ed, 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.
e trends, research directions and implementation/ application possibilities.Includes bibliographical references and index.