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Fuzzy Control and Filter Design for Uncertain Fuzzy Systems (Paperback, 2006 ed.) Loot Price: R2,990
Discovery Miles 29 900
Fuzzy Control and Filter Design for Uncertain Fuzzy Systems (Paperback, 2006 ed.): Wudhichai Assawinchaichote, Sing Kiong...

Fuzzy Control and Filter Design for Uncertain Fuzzy Systems (Paperback, 2006 ed.)

Wudhichai Assawinchaichote, Sing Kiong Nguang, Peng Shi

Series: Lecture Notes in Control and Information Sciences, 347

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Loot Price R2,990 Discovery Miles 29 900 | Repayment Terms: R280 pm x 12*

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Most real physical systems are nonlinear in nature. Control and ?ltering of nonlinear systems are still open problems due to their complexity natures. These problem becomes more complex when the system's parameters are - certain. A common approach to designing a controller/?lter for an uncertain nonlinear system is to linearize the system about an operating point, and uses linear control theory to design a controller/?lter. This approach is successful when the operating point of the system is restricted to a certain region. H- ever, when a wide range operation of the system is required, this method may fail. ThisbookpresentsnewnovelmethodologiesfordesigningrobustH fuzzy ? controllers and robustH fuzzy ?lters for a class of uncertain fuzzy systems ? (UFSs), uncertain fuzzy Markovian jump systems (UFMJSs), uncertain fuzzy singularly perturbed systems (UFSPSs) and uncertain fuzzy singularly p- turbed systems with Markovian jumps (UFSPS-MJs). These new meth- ologies provide a framework for designing robustH fuzzy controllers and ? robustH fuzzy ?lters for these classes of systems based on a Tagaki-Sugeno ? (TS) fuzzy model. Solutions to the design problems are presented in terms of linear matrix inequalities (LMIs). To investigate the design problems, we ?rst describe a class of uncertain nonlinear systems (UNSs), uncertain nonlinear Markovianjumpsystems(UNMJSs), uncertainnonlinearsingularlyperturbed systems(UNSPSs)anduncertainnonlinearsingularlyperturbedsystemswith Markovian jumps (UNSPS-MJs) by a TS fuzzy system with parametric - certainties and with/without Markovian jumps. Then, based on an LMI - proach, we develop a technique for designing robustH fuzzy controllers and ? robustH fuzzy ?lters such that a given prescribed performance index is ? guaranteed.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Control and Information Sciences, 347
Release date: September 2006
First published: 2006
Authors: Wudhichai Assawinchaichote • Sing Kiong Nguang • Peng Shi
Dimensions: 235 x 155 x 10mm (L x W x T)
Format: Paperback
Pages: 180
Edition: 2006 ed.
ISBN-13: 978-3-540-37011-6
Categories: Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > General
LSN: 3-540-37011-0
Barcode: 9783540370116

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