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File Format | PDF
File Size | 5.37 MB
Pages | 309
Language | English
Category | Mechanical
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Description: This volume
offers full coverage of the systematic framework for the stability and design
of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model,
authors Tanaka and Wang address a number of important issues in fuzzy control
systems, including stability analysis, systematic design procedures,
incorporation of performance specifications, numerical implementations, and
practical applications.
Issues that have
not been fully treated in existing texts, such as stability analysis,
systematic design, and performance analysis, are crucial to the validity and
applicability of fuzzy control methodology. Fuzzy Control Systems Design and
Analysis addresses these issues in the framework of parallel distributed compensation,
a controller structure devised in accordance with the fuzzy model.
This balanced
treatment features an overview of fuzzy control, modeling, and stability
analysis, as well as a section on the use of linear matrix inequalities (LMI)
as an approach to fuzzy design and control. It also covers advanced topics in
model-based fuzzy control systems, including modeling and control of chaotic
systems. Later sections offer practical examples in the form of detailed
theoretical and experimental studies of fuzzy control in robotic systems and a
discussion of future directions in the field.
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Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
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