Application-oriented work is one of the strongest and most rapidly expanding areas in fuzzy control and a variety of fuzzy modelling approaches are now appearing. Of particular interest are new and recent directions in synthesis, stability and robustness analysis, adaptiveness and non-linear tracking systems. Addressing the two areas of synthesis and analysis in conjunction, this volume examines synthetic and dynamical properties of fuzzy control systems in a quantitative manner. Coverage spans a number of fundamental issues including fuzzy dynamical systems, robustness, stability, controllability and sensitivity analysis and how these affect parameters in membership functions, fuzzification, defuzzification and inferencing.
Fuzzy Control - Synthesis & Analysis
Description
Table of Contents
Information granularity in the analysis and design of fuzzy controllers; fuzzy modelling for predictive control; adaptive and learning schemes for fuzzy modelling; fuzzy system identification with general parameter radial basis function neural network; lyapunov stability analysis of fuzzy dynamic systems; passivity and stability of fuzzy control systems; analysis of multivariable fuzzy control systems in the frequency domain; analysis of structure of a mamdani fuzzy controller with three input variables; an analysis of robust stability of fuzzy control systems; fuzzy stability analysis with applications to aircraft systems; observer based controller synthesis for model based fuzzy systems via linear matrix inequality; LMI-based fuzzy control; a framework for synthesis of PDC-type Takagi-Sugeno fuzzy control systems; on adaptive fuzzy logic control of non-linear systems; stabilisation of direct adaptive FLC; gain scheduling based control of a class of TSK systems; on output tracking using fuzzy neural networks; fuzzy life-extending control of mechanical systems.
Author Description
Shehu S. Farinwata and Dimitar P. Filev are the authors of Fuzzy Control: Synthesis and Analysis, published by Wiley.