Type-2 fuzzy logic in control of nonsmooth systems : theoretical concepts and applications

Author(s)

Bibliographic Information

Type-2 fuzzy logic in control of nonsmooth systems : theoretical concepts and applications

Oscar Castillo, Luis T. Aguila

(Studies in fuzziness and soft computing, v. 373)

Springer, c2019

Available at  / 1 libraries

Search this Book/Journal

Note

Includes bibliographical references and index

Description and Table of Contents

Description

This book presents the synthesis and analysis of fuzzy controllers and its application to a class of mechanical systems. It mainly focuses on the use of type-2 fuzzy controllers to account for disturbances known as hard or nonsmooth nonlinearities. The book, which summarizes the authors' research on type-2 fuzzy logic and control of mechanical systems, presents models, simulation and experiments towards the control of servomotors with dead-zone and Coulomb friction, and the control of both wheeled mobile robots and a biped robot. Closed-loop systems are analyzed in the framework of smooth and nonsmooth Lyapunov functions.

Table of Contents

Background on Type-1 and Type-2 Fuzzy Logic.- Genetic Algorithms.- Fuzzy Lyapunov Synthesis for Nonsmooth Mechanical Systems.- Fuzzy Control for Systems with Dead-Zone and Backlash.- Fuzzy Control Synthesis for Systems with Discontinuous Friction.- Fuzzy Control for Wheeled Mobile Robots.- Fuzzy Control for Biped Robots under Impacts.

by "Nielsen BookData"

Related Books: 1-1 of 1

Page Top