Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Technical results for the study of robustness of Lagrange stability
Systems & Control Letters
Robust adaptive control
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
Information Sciences—Informatics and Computer Science: An International Journal
Combining fuzzy, PID and regulation control for an autonomous mini-helicopter
Information Sciences: an International Journal
Adaptive fuzzy control for a class of uncertain nonaffine nonlinear systems
Information Sciences: an International Journal
Design of fuzzy power system stabilizer using adaptive evolutionary algorithm
Engineering Applications of Artificial Intelligence
Information Sciences: an International Journal
EP-based kinematic control and adaptive fuzzy sliding-mode dynamic control for wheeled mobile robots
Information Sciences: an International Journal
Fuzzy adaptive backstepping robust control for SISO nonlinear system with dynamic uncertainties
Information Sciences: an International Journal
Adaptive fuzzy controller for non-affine systems with zero dynamics
International Journal of Systems Science
Dynamic structure adaptive neural fuzzy control for MIMO uncertain nonlinear systems
Information Sciences: an International Journal
Direct adaptive fuzzy control for nonlinear systems with time-varying delays
Information Sciences: an International Journal
Optimisation criteria in development of fuzzy controllers with dynamics
Engineering Applications of Artificial Intelligence
Information Sciences: an International Journal
Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H∞ tracking performance
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy PI control design for an industrial weigh belt feeder
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Adaptive Fuzzy Output Tracking Control of MIMO Nonlinear Uncertain Systems
IEEE Transactions on Fuzzy Systems
Adaptive Control of a Class of Nonlinear Pure-Feedback Systems Using Fuzzy Backstepping Approach
IEEE Transactions on Fuzzy Systems
Design of Robust Adaptive Controllers for Nonlinear Systems with Dynamic Uncertainties
Automatica (Journal of IFAC)
Robust adaptive neural control for a class of perturbed strict feedback nonlinear systems
IEEE Transactions on Neural Networks
Neural-network control of nonaffine nonlinear system with zero dynamics by state and output feedback
IEEE Transactions on Neural Networks
Fuzzy adaptive high-gain-based observer backstepping control for SISO nonlinear systems
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Sliding mode filter design for nonlinear polynomial systems with unmeasured states
Information Sciences: an International Journal
Fuzzy adaptive synchronization of time-reversed chaotic systems via a new adaptive control strategy
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
International Journal of Automation and Computing
Information Sciences: an International Journal
Design of a unified adaptive fuzzy observer for uncertain nonlinear systems
Information Sciences: an International Journal
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In this paper, a direct fuzzy adaptive robust control approach is proposed for a class of SISO nonlinear systems with completely unknown virtual control directions, unknown nonlinearities, unmodeled dynamics and dynamic disturbances. In the backstepping recursive design, fuzzy logic systems are employed to approximate the combined nonlinear uncertainties, a dynamic signal and Nussbaum gain technique are introduced into the control scheme to dominate the dynamic uncertainties and solve the unknown signs of virtual control directions, respectively. It is proved that the proposed robust fuzzy adaptive scheme can guarantee the all signals in the closed-loop system are semi-globally uniformly ultimately bounded. The effectiveness of the proposed approach is illustrated via three examples.