Fuzzy Control and Filter Design for Uncertain Fuzzy Systems [electronic resource] / by Wudhichai Assawinchaichote, Sing Kiong Nguang, Peng Shi.

By: Assawinchaichote, Wudhichai [author.]Contributor(s): Nguang, Sing Kiong [author.] | Shi, Peng [author.] | SpringerLink (Online service)Material type: TextTextLanguage: English Series: Lecture Notes in Control and Information Sciences: 347Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006Description: XI, 176 p. Also available online. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540370123Subject(s): Engineering | Artificial intelligence | Systems theory | Engineering mathematics | Engineering | Control Engineering | Systems Theory, Control | Artificial Intelligence (incl. Robotics) | Appl.Mathematics/Computational Methods of EngineeringAdditional physical formats: Printed edition:: No titleOnline resources: Click here to access online
Contents:
UNCERTAIN FUZZY SYSTEMS -- Uncertain Fuzzy Systems -- Robust ?? Fuzzy Control Design for Uncertain Fuzzy Systems -- Robust ?? Fuzzy Filter Design for Uncertain Fuzzy Systems -- Robust ?? Fuzzy Control Design for Uncertain Fuzzy Markovian Jump Systems -- Robust ?? Fuzzy Filter Design for Uncertain Fuzzy Markovian Jump Systems -- UNCERTAIN FUZZY SINGULARLY PERTURBED SYSTEMS -- Uncertain Fuzzy Singularly Perturbed Systems -- Robust ?? Fuzzy Control Design for Uncertain Fuzzy Singularly Perturbed Systems -- Robust ?? Fuzzy Filter Design for Uncertain Fuzzy Singularly Perturbed Systems -- Robust ?? Fuzzy Control Design for Uncertain Fuzzy Singularly Perturbed Systems with Markovian Jumps -- Robust ?? Fuzzy Filter Design for Uncertain Fuzzy Singularly Perturbed Systems with Markovian Jumps.
In: Springer eBooksSummary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
No physical items for this record

UNCERTAIN FUZZY SYSTEMS -- Uncertain Fuzzy Systems -- Robust ?? Fuzzy Control Design for Uncertain Fuzzy Systems -- Robust ?? Fuzzy Filter Design for Uncertain Fuzzy Systems -- Robust ?? Fuzzy Control Design for Uncertain Fuzzy Markovian Jump Systems -- Robust ?? Fuzzy Filter Design for Uncertain Fuzzy Markovian Jump Systems -- UNCERTAIN FUZZY SINGULARLY PERTURBED SYSTEMS -- Uncertain Fuzzy Singularly Perturbed Systems -- Robust ?? Fuzzy Control Design for Uncertain Fuzzy Singularly Perturbed Systems -- Robust ?? Fuzzy Filter Design for Uncertain Fuzzy Singularly Perturbed Systems -- Robust ?? Fuzzy Control Design for Uncertain Fuzzy Singularly Perturbed Systems with Markovian Jumps -- Robust ?? Fuzzy Filter Design for Uncertain Fuzzy Singularly Perturbed Systems with Markovian Jumps.

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.

There are no comments on this title.

to post a comment.


Implemented and Maintained by Biju Patnaik Central Library.
For any Suggestions/Query Contact to library or Email: library@nitrkl.ac.in OR bpcl-cir@nitrkl.ac.in. Ph:91+6612462103
Website/OPAC best viewed in Mozilla Browser in 1366X768 Resolution.

Powered by Koha