9780863411274 - implementation of self tuning controller (i e e control engineering series) (4 Ergebnisse)
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Anbieter: Better World Books, Mishawaka, IN, USABetter World Books
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Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Gebunden. Zustand: New. Inhaltsverzeichnisrnrnn Chapter 1: Introduction to self-tuning controln Chapter 2: RLS based estimation schemes for self-tuning controln Chapter 3: LQG based self-tuning controllersn Chapter 4: Numerical algori.
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 161,58
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Hardcover. Zustand: Brand New. illustrated edition. 324 pages. 99.00x6.00x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Institution Of Engineering & Technology Jun 1988, 1988
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Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Neuware - 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 suggesti…ons 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.
