Fuzzy Control Systems Design and Analysis (PDF)

A comprehensive treatment of model-based fuzzy control
systems

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.

Fuzzy Control Systems Design and Analysis offers
an advanced treatment of fuzzy control that makes a useful
reference for researchers and a reliable text for advanced graduate
students in the field.