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Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers
出版Springer Science & Business Media, 2013-04-17
主題Computers / Design, Graphics & Media / CAD-CAMComputers / Artificial Intelligence / Expert SystemsComputers / Artificial Intelligence / GeneralComputers / Artificial Intelligence / Computer Vision & Pattern RecognitionTechnology & Engineering / AutomationTechnology & Engineering / Engineering (General)Computers / Software Development & Engineering / GeneralComputers / Optical Data ProcessingLanguage Arts & Disciplines / Library & Information Science / General
ISBN36620340189783662034019
URLhttp://books.google.com.hk/books?id=ntWoCAAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules for the fuzzy controller. Of central interest are the stability, performance, and robustness of the resulting closed loop system. The major objective of model based fuzzy control is to use the full range of linear and nonlinear design and analysis methods to design such fuzzy controllers with better stability, performance, and robustness properties than non-fuzzy controllers designed using the same techniques. This objective has already been achieved for fuzzy sliding mode controllers and fuzzy gain schedulers - the main topics of this book. The primary aim of the book is to serve as a guide for the practitioner and to provide introductory material for courses in control theory.