Automatica (Journal of IFAC)
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Neural-network-based optimal fuzzy controller design for nonlinear systems
Fuzzy Sets and Systems
Stability analysis and synthesis for an affine fuzzy system via LMIand ILMI: discrete case
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Switching control of an R/C hovercraft: stabilization and smoothswitching
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Observers for Takagi-Sugeno fuzzy systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hybrid compensation control for affine TSK fuzzy control systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Improving the interpretability of TSK fuzzy models by combining global learning and local learning
IEEE Transactions on Fuzzy Systems
Optimal fuzzy controller design: local concept approach
IEEE Transactions on Fuzzy Systems
Optimal fuzzy controller design in continuous fuzzy system: global concept approach
IEEE Transactions on Fuzzy Systems
Fuzzy tracking control design for nonlinear dynamic systems via T-S fuzzy model
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
H∞ decentralized fuzzy model reference tracking control design for nonlinear interconnected systems
IEEE Transactions on Fuzzy Systems
Robust TSK fuzzy modeling for function approximation with outliers
IEEE Transactions on Fuzzy Systems
Discrete-time optimal fuzzy controller design: global concept approach
IEEE Transactions on Fuzzy Systems
Robust stability constraints for fuzzy model predictive control
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Optimal tracking design for stochastic fuzzy systems
IEEE Transactions on Fuzzy Systems
Effective optimization for fuzzy model predictive control
IEEE Transactions on Fuzzy Systems
Analysis and design of an affine fuzzy system via bilinear matrix inequality
IEEE Transactions on Fuzzy Systems
Differences between t-norms in fuzzy control
International Journal of Intelligent Systems
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An affine T-S fuzzy system is derived naturally from linearizing a nonlinear system or from some data-driven identification techniques, for example, cluster-based algorithms or soft-computation learning structures. Little research is proposed for the intrinsic analysis of an affine-type fuzzy system. Further, the controllers to regulate or to achieve servo control of affine TS-based nonlinear systems are also few. Both affine-type fuzzy regulation and servo control design scheme are theoretically derived. A simple Lyapunov-based stability criterion and some extra conditions are proposed to guarantee the global stability of the generated closed-loop fuzzy systems. The exponential stability of the feedback fuzzy system is ensured under some conditions. The performance of the proposed fuzzy controllers and fuzzy servo controllers is examined by three case studies. Simulation results show that the proposed controllers can stabilize these affine fuzzy systems and the proposed servomechanism can adapt itself to various incoming signals in very short time spans.