Description
Book SynopsisThis text examines synthetic and dynamical properties of fuzzy control systems in a quantitative manner. It includes fuzzy dynamical systems, controllability and sensitivity analysis and how these affect parameters in membership functions, fuzzification, defuzzification and inferencing.
Trade Review"Design and control engineers will value the advanced control techniques, new design and analysis tools presented. Post-graduates...a useful reference." (Engineering Design, July 2000)
"...a good read...it boldly tackles the stability issue of fuzzy control systems..." (Measurement and Control, October 2000)
"Design and control engineers will value the advanced control techniques and new design and analysis tools presented. Postgraduates studying fuzzy control will find this book a useful reference...." (European Power Electronics & Drives Journal September 2001)
Table of ContentsMODELING.
Information Granularity in the Analysis and Design of Fuzzy Controllers.
Fuzzy Modeling for Predictive Control.
Adaptive and Learning Schemes for Fuzzy Modeling.
Fuzzy System Identification with General Parameter Radial Basis Function Neural Network.
ANALYSIS.
Lyapunov Stability Analysis of Fuzzy Dynamic Systems.
Passivity and Stability of Fuzzy Control Systems.
Frequency Domain Analysis of MIMO Fuzzy Control Systems.
Analytical Study of Structure of a Mamdani Fuzzy Controller with Three Input Variables.
An Approach to the Analysis of Robust Stability of Fuzzy Control Systems.
Fuzzy Control Systems Stability Analysis with Application to Aircraft Systems.
SYNTHESIS.
Observer-Based Controller Synthesis for Model-Based Fuzzy Systems via Linear Matrix Inequalities.
LMI-Based Fuzzy Control: Fuzzy Regulator and Fuzzy Observer Design via LMIs.
A Framework for the Synthesis of PDC-Type Takagi-Sugano Fuzzy Control Systems: An LMI Approach.
On Adaptive Fuzzy Logic Control on Non-linear Systems--Synthesis and Analysis.
Stabilization of Direct Adaptive Fuzzy Control Systems: Two Approaches.
Gain Scheduling Based Control of a Class of TSK Systems.
Output Tracking Using Fuzzy Neural Networks.
Fuzzy Life-Extending Control of Mechanical Systems.
Epilogue.
Index.
