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A course in fuzzy systems and control
Fuzzy adaptive control of multivariable nonlinear systems
Fuzzy Sets and Systems
Adaptive Neuro-fuzzy Control System by RBF and GRNN Neural Networks
Journal of Intelligent and Robotic Systems
Direct adaptive fuzzy output tracking control of nonlinear systems
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Performance of Nonlinear Approximate Adaptive Controllers
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Direct adaptive interval type-2 fuzzy control of multivariable nonlinear systems
Engineering Applications of Artificial Intelligence
The collapsing method of defuzzification for discretised interval type-2 fuzzy sets
Information Sciences: an International Journal
Quadratic optimal neural fuzzy control for synchronization of uncertain chaotic systems
Expert Systems with Applications: An International Journal
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Enhanced Karnik-Mendel algorithms
IEEE Transactions on Fuzzy Systems
Type-reduction of the discretised interval type-2 fuzzy set
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Engineering Applications of Artificial Intelligence
Robust L2-gain compensative control for direct-adaptive fuzzy-control-system design
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Type-2 fuzzy sliding mode control without reaching phase for nonlinear system
Engineering Applications of Artificial Intelligence
Synchronization of uncertain chaotic systems based on adaptive type-2 fuzzy sliding mode control
Engineering Applications of Artificial Intelligence
Type-2 FLCs: A New Generation of Fuzzy Controllers
IEEE Computational Intelligence Magazine
Type-2 fuzzy sets and systems: an overview
IEEE Computational Intelligence Magazine
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
State observer based robust adaptive fuzzy controller for nonlinear uncertain and perturbed systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
H∞ tracking design of uncertain nonlinear SISO systems: adaptive fuzzy approach
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Interval type-2 fuzzy logic systems: theory and design
IEEE Transactions on Fuzzy Systems
Adaptive fuzzy-based tracking control for nonlinear SISO systems via VSS and H∞ approaches
IEEE Transactions on Fuzzy Systems
A hybrid adaptive fuzzy control for a class of nonlinear MIMO systems
IEEE Transactions on Fuzzy Systems
Geometric Type-1 and Type-2 Fuzzy Logic Systems
IEEE Transactions on Fuzzy Systems
Two-Mode Adaptive Fuzzy Control With Approximation Error Estimator
IEEE Transactions on Fuzzy Systems
Stable adaptive fuzzy control of nonlinear systems
IEEE Transactions on Fuzzy Systems
Brief Robust tracking control for nonlinear MIMO systems via fuzzy approaches
Automatica (Journal of IFAC)
Fuzzy modelling and tracking control of nonlinear systems
Mathematical and Computer Modelling: An International Journal
Information Sciences: an International Journal
Adaptive neural complementary sliding-mode control via functional-linked wavelet neural network
Engineering Applications of Artificial Intelligence
Optimal robust adaptive fuzzy H∞ tracking control without reaching phase for nonlinear system
Journal of Control Science and Engineering
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This paper presents a novel H^~ tracking-based direct adaptive fuzzy controller (HDAFC) for a class of perturbed uncertain affine nonlinear systems involving external disturbances and measurement noise. A practical interval type-2 (IT2) fuzzy logic system (FLS) is introduced to approximate the ideal control law. To eliminate the tradeoff between H^~ tracking performance and high gain at the control input, a modified output tracking error is introduced. Based on the proposed fired-rule-determination algorithm, a practical average defuzzifier expressed in parameterized and closed formula is developed for the IT2 FLS. Without the restriction that the control gain function is exactly known, the IT2 HDAFC is constructed and its adaptive law is derived by virtue of the Lyapunov synthesis. To improve control performance under measurement noise, the recursive linear smoothed Newton predictor is further introduced as a delayless output filter. Simulated application of a single-link robot manipulator demonstrates the superiority of the proposed approach over the previous approach in terms of the settling time, tracking accuracy, energy consumption and smoothness of the control input.