Fuzzy Control: Synthesis and Analysis

Fuzzy Control Synthesis and Analysis Edited by Shehu S. Farinwata Ford Motor Company, Research Laboratory, Dearborn, Michigan, USA Dimitar Filev Ford Motor Company, AMTDC, Redford, Michigan, USA Reza Langari Texas A & M University, College Station, Texas, USA Fuzzy techniques are used to cope with imprecision in the basic elements of a process under control. Written by an international team of researchers this edited volume covers the modeling, analysis and synthesis of fuzzy control systems. Features include:
∗ Comprehensive coverage of fuzzy dynamical systems, robustness, stability and sensitivity – giving the reader a good grasp of the fundamentals of fuzzy control
∗ Focus on the analytical structures of new fuzzy modeling approaches based on the Takagi–Sugeno–Kang (TSK) or Takagi–Sugeno (TS) model
∗ Applications of fuzzy control to aircraft systems, rocket engines and automotive engines
∗ Problems and examples illustrating how fuzzy approaches may be applied to the modeling, analysis and synthesis of closed–loop systems
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 on synthesis, systems analysis and advanced nonlinear control methods.

Spis treści:
MODELING.
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.

Okładka tylna:
Fuzzy Control Synthesis and Analysis Edited by Shehu S. Farinwata Ford Motor Company, Research Laboratory, Dearborn, Michigan, USA Dimitar Filev Ford Motor Company, AMTDC, Redford, Michigan, USA Reza Langari Texas A & M University, College Station, Texas, USA Fuzzy techniques are used to cope with imprecision in the basic elements of a process under control. Written by an international team of researchers this edited volume covers the modeling, analysis and synthesis of fuzzy control systems. Features include:
∗ Comprehensive coverage of fuzzy dynamical systems, robustness, stability and sensitivity – giving the reader a good grasp of the fundamentals of fuzzy control
∗ Focus on the analytical structures of new fuzzy modeling approaches based on the Takagi–Sugeno–Kang (TSK) or Takagi–Sugeno (TS) model
∗ Applications of fuzzy control to aircraft systems, rocket engines and automotive engines
∗ Problems and examples illustrating how fuzzy approaches may be applied to the modeling, analysis and synthesis of closed–loop systems
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 on synthesis, systems analysis and advanced nonlinear control methods.