Description
Book SynopsisFuzzy control methods are critical for meeting the demands of complex nonlinear systems. They bestow robust, adaptive, and self-correcting character to complex systems that demand high stability and functionality beyond the capabilities of traditional methods. A thorough treatise on the theory of fuzzy logic control is out of place on the design bench. That is why Fuzzy Controller Design: Theory and Applications offers laboratory- and industry-tested algorithms, techniques, and formulations of real-world problems for immediate implementation.
With surgical precision, the authors carefully select the fundamental elements of fuzzy logic control theory necessary to formulate effective and efficient designs. The book supplies a springboard of knowledge, punctuated with examples worked out in MATLAB /SIMULINK , from which newcomers to the field can dive directly into applications. It systematically covers the design of hybrid, adaptive, and self-learning fuzzy control structures
Table of Contents
Introduction. Fuzzy Controller Design. Initial Setting of Fuzzy Controllers. Complex Fuzzy Controller Structures. Self-Organizing Fuzzy Controller. Fuzzy Controllers as MATLAB Superblocks. Implementation of Fuzzy Controllers for Industrial Applications.
