Structure identification of fuzzy model
Fuzzy Sets and Systems
Optimal control: linear quadratic methods
Optimal control: linear quadratic methods
Analysis and design of fuzzy control system
Fuzzy Sets and Systems
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Analysis and design of fuzzy reduced-dimensional observer and fuzzy functional observer
Fuzzy Sets and Systems
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Switching control of an R/C hovercraft: stabilization and smoothswitching
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stable and robust fuzzy control for uncertain nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Brief paper: Fuzzy control of the activated sludge wastewater treatment process
Automatica (Journal of IFAC)
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs
IEEE Transactions on Fuzzy Systems
Stabilizing fuzzy system models using linear controllers
IEEE Transactions on Fuzzy Systems
New approaches to relaxed quadratic stability condition of fuzzy control systems
IEEE Transactions on Fuzzy Systems
New approaches to H∞ controller designs based on fuzzy observers for T-S fuzzy systems via LMI
Automatica (Journal of IFAC)
Genetic based fuzzy logic controller for a wall-following mobile robot
ACC'09 Proceedings of the 2009 conference on American Control Conference
Stability analysis for a class of impulsive fuzzy control systems
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Hybrid intelligent systems applied to the pursuit-evasion game
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Stability and robustness of fuzzy adaptive control of nonlinear systems
Applied Soft Computing
A novel fuzzy framework for nonlinear system control
Fuzzy Sets and Systems
Self-learning fuzzy logic controllers for pursuit-evasion differential games
Robotics and Autonomous Systems
Stability analysis and design of a class of MIMO fuzzy control systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper presents a fuzzy controller which can be designed through two steps for nonlinear systems. The proposed fuzzy controller consists of two groups of fuzzy rules, namely the stability and performance rules. Stability conditions which involve the stability rules only will be derived to guarantee the system stability. By properly designing the shapes of the membership functions of the fuzzy controller, the stability conditions can be relaxed. The proposed fuzzy controller offers a property that the performance rules will not alter the system stability. This favorable property enables the performance rules to be designed freely to achieve the system performance without affecting the system stability. Consequently, the system stability and performance can be designed in two separate processes. An application example will be presented to show the merits of the proposed approach.