Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Fuzzy adaptive control for a class of nonlinear systems
Fuzzy Sets and Systems
Fuzzy adaptive control of multivariable nonlinear systems
Fuzzy Sets and Systems
Robust backstepping control of a class of nonlinear systems using fuzzy logic
Information Sciences: an International Journal - Special issue analytical theory of fuzzy control with applications
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Stable indirect fuzzy adaptive control
Fuzzy Sets and Systems - Theme: Modeling and control
Direct Adaptive Fuzzy Backstepping Control for Nonlinear Systems
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2
Fuzzy approximate disturbance decoupling of MIMO nonlinear systems by backstepping approach
Fuzzy Sets and Systems
Observer-based adaptive control of robot manipulators: Fuzzy systems approach
Applied Soft Computing
Observer-based adaptive fuzzy-neural control for unknown nonlineardynamical systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
H∞ tracking design of uncertain nonlinear SISO systems: adaptive fuzzy approach
IEEE Transactions on Fuzzy Systems
Stable adaptive control using fuzzy systems and neural networks
IEEE Transactions on Fuzzy Systems
Stable multi-input multi-output adaptive fuzzy/neural control
IEEE Transactions on Fuzzy Systems
A hybrid adaptive fuzzy control for a class of nonlinear MIMO systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Mixed Feedforward/Feedback Based Adaptive Fuzzy Control for a Class of MIMO Nonlinear Systems
IEEE Transactions on Fuzzy Systems
Adaptive control of a class of nonlinear systems with fuzzy logic
IEEE Transactions on Fuzzy Systems
Brief Robust tracking control for nonlinear MIMO systems via fuzzy approaches
Automatica (Journal of IFAC)
Fuzzy adaptive observer backstepping control for MIMO nonlinear systems
Fuzzy Sets and Systems
Fuzzy control based on expert rules
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Fuzzy-approximation-based adaptive control of strict- feedback nonlinear systems with time delays
IEEE Transactions on Fuzzy Systems
Fuzzy adaptive high-gain-based observer backstepping control for SISO nonlinear systems
Information Sciences: an International Journal
Adaptive robust NN control of nonlinear systems
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Fuzzy sliding-mode control for ball and beam system with fuzzy ant colony optimization
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Interval type 2 hierarchical FNN with the H-infinity condition for MIMO non-affine systems
Applied Soft Computing
Interaction analysis and loop pairing for MIMO processes described by T--S fuzzy models
Fuzzy Sets and Systems
Adaptive control for nonlinear MIMO time-delay systems based on fuzzy approximation
Information Sciences: an International Journal
Applications of axiomatic fuzzy sets theory on fuzzy time series forecasting
International Journal of Systems, Control and Communications
Adaptive fuzzy tracking control of nonlinear MIMO systems with time-varying delays
Fuzzy Sets and Systems
Adaptive fuzzy control for differentially flat MIMO nonlinear dynamical systems
Integrated Computer-Aided Engineering
Information Sciences: an International Journal
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In this paper, a new fuzzy adaptive control approach is developed for a class of SISO strict-feedback nonlinear systems with unmeasured states. Using fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy adaptive observer is introduced for state estimation as well as system identification. Under the framework of the backstepping design, fuzzy adaptive output feedback control is constructed recursively. It is proven that the proposed fuzzy adaptive control approach guarantees the semi-global boundedness property for all the signals and the tracking error to a small neighborhood of the origin. Simulation studies are included to illustrate the effectiveness of the proposed approach.