Zdenko Kovacic. Stjepan Bogdan. Fuzzy Controller Design: theory and applications

Zdenko Kovacic. Stjepan Bogdan. Faculty of Electrical Engineering and Computing. University of Zagreb. "Fuzzy Controller Design. Theory and Applications"CRC Press. Published in 2006 by - 392 p.Fuzzy control methods represent a rather new approach to the problems of
controlling complex nonlinear systems, the systems whose mathematical model is difficult or impossible to describe, and the systems with multiple inputs and outputs characterized by hardly defined internal interference. It must be said that fuzzy logic control techniques earned respect from the engineering population after numerous applications on technical and nontechnical systems, especially complex
systems in industry, economy, and medicine.Fuzzy Controller Design
Fuzzy Sets
Linguistic Variables.
Fuzzy Rules
Initial Setting of Fuzzy Controllers
Fuzzy Emulation of P-I-D Control Algorithms
Model Reference-Based Initial Setting of Fuzzy Controllers
Phase Plane-Based Initial Setting of Fuzzy Controllers
Practical Examples: Initial Setting of a Fuzzy Controller
Complex Fuzzy Controller Structures
Hybrid Fuzzy Control
Adaptive Fuzzy Control.
Self-Organizing Fuzzy Controllers.
Self-Organizing Fuzzy Control Based on the Direct Lyapunov Method
Self-Organizing Fuzzy Control Based on the Hurwitz Stability Criteria
Self-Organizing Fuzzy Control Based on Sensitivity Functions
Fuzzy Controllers as MatLAB Superblocks
Features of MatLAB Fuzzy Logic Toolbox
Hybrid Fuzzy Controller Super-Block for MatLAB
Polynomial-Based PSLFLC MatLAB Super-Block
Sensitivity Model-Based SLFLC MatLAB Super-Block
Implementation of Fuzzy Controllers for Industrial Applications
Brief Overview of Industrial Fuzzy Controllers
Implementation Platforms for Industrial Fuzzy Logic Controllers
Examples of Fuzzy Controller Applications in Process Control