Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Training fuzzy systems with the extended Kalman filter
Fuzzy Sets and Systems - Fuzzy systems
An optimal T-S model for the estimation and identification of nonlinear functions
WSEAS Transactions on Systems and Control
A methodology to design stable nonlinear fuzzy control systems
Fuzzy Sets and Systems
Fuzzy rule-based combination of linear and switching state-feedback controllers
Fuzzy Sets and Systems
High-order fuzzy sliding manifold control
Fuzzy Sets and Systems
A general and formal methodology to design stable nonlinear fuzzy control systems
IEEE Transactions on Fuzzy Systems
An affine fuzzy model with local and global interpretations
Applied Soft Computing
Size reduction by interpolation in fuzzy rule bases
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Design of fuzzy controllers with adaptive rule insertion
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Designing fuzzy controllers from a variable structures standpoint
IEEE Transactions on Fuzzy Systems
Decoupled fuzzy sliding-mode control
IEEE Transactions on Fuzzy Systems
On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Fuzzy adaptive sliding-mode control for MIMO nonlinear systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Adaptive fuzzy controller with sliding surface for vehicle suspension control
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
A novel Takagi-Sugeno-based robust adaptive fuzzy sliding-mode controller
IEEE Transactions on Fuzzy Systems
Interval Fuzzy Model Identification Using -Norm
IEEE Transactions on Fuzzy Systems
Performance Enhancement for T–S Fuzzy Control Using Neural Networks
IEEE Transactions on Fuzzy Systems
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
IEEE Transactions on Fuzzy Systems
Adaptive Fuzzy Output Tracking Control of MIMO Nonlinear Uncertain Systems
IEEE Transactions on Fuzzy Systems
Adaptive Synchronization of Uncertain Chaotic Systems Based on T–S Fuzzy Model
IEEE Transactions on Fuzzy Systems
T–S Fuzzy Bilinear Model and Fuzzy Controller Design for a Class of Nonlinear Systems
IEEE Transactions on Fuzzy Systems
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In this paper, a fuzzy based Variable Structure Control (VSC) with guaranteed stability is presented. The main objective is to obtain an improved performance of highly non-linear unstable systems. The main contribution of this work is that, firstly, new functions for chattering reduction and error convergence without sacrificing invariant properties are proposed, which is considered the main drawback of the VSC control. Secondly, the global stability of the controlled system is guaranteed. The well known weighting parameters approach, is used in this paper to optimize local and global approximation and modeling capability of T-S fuzzy model. A one link robot is chosen as a nonlinear unstable system to evaluate the robustness, effectiveness and remarkable performance of optimization approach and the high accuracy obtained in approximating nonlinear systems in comparison with the original T-S model. Simulation results indicate the potential and generality of the algorithm. The application of the proposed FLC-VSC shows that both alleviation of chattering and robust performance are achieved with the proposed FLC-VSC controller. The effectiveness of the proposed controller is proven infront of disturbances and noise effects.