Information Sciences: an International Journal
Robust adaptive fuzzy control of unknown chaotic systems
Applied Soft Computing
IEEE Transactions on Neural Networks
General impulsive control of chaotic systems based on a TS fuzzy model
Fuzzy Sets and Systems
Model-based synthetic fuzzy logic controller for indirect bloodpressure measurement
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An adaptive recurrent-neural-network motion controller for X-Y table in CNC Machine
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An improved stability criterion for T-S fuzzy discrete systems via vertex expression
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Reliable Nonuniform Sampling Fuzzy Control for Nonlinear Systems With Time Delay
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy model-based control of complex plants
IEEE Transactions on Fuzzy Systems
Fuzzy control design for the trajectory tracking on uncertain nonlinear systems
IEEE Transactions on Fuzzy Systems
Robustness design of nonlinear dynamic systems via fuzzy linear control
IEEE Transactions on Fuzzy Systems
Mixed H2/H∞ fuzzy output feedback control design for nonlinear dynamic systems: an LMI approach
IEEE Transactions on Fuzzy Systems
Robust H∞ disturbance attenuation for a class of uncertain discrete-time fuzzy systems
IEEE Transactions on Fuzzy Systems
Output feedback robust H∞ control of uncertain fuzzy dynamic systems with time-varying delay
IEEE Transactions on Fuzzy Systems
H∞ decentralized fuzzy model reference tracking control design for nonlinear interconnected systems
IEEE Transactions on Fuzzy Systems
Discrete-time optimal fuzzy controller design: global concept approach
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Averaging of nonsmooth systems using dither
Automatica (Journal of IFAC)
Neural network-based control design: an LMI approach
IEEE Transactions on Neural Networks
Helicopter trimming and tracking control using direct neural dynamic programming
IEEE Transactions on Neural Networks
A high speed railway control system based on the fuzzy control method
Expert Systems with Applications: An International Journal
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In this study, a combining scheme of fuzzy controllers and dithers via NN-based approach was proposed to tame the chaotic system. In terms of Lyapunov's direct method, a stability criterion was derived to guarantee that the trajectory described by the chaotic system under fuzzy control can be steered into a periodic orbit or a steady state. According to the stability condition of this criterion, a fuzzy controller was then synthesized to control chaos and achieve the H^~ control performance at the same time. A high frequency signal (commonly referred to as dither) was simultaneously injected to quench the chaotic motion when the fuzzy controller cannot quell the chaos. Finally, a numerical example of Chua's oscillator circuit with simulations is provided to demonstrate the feasibility of our approach.