Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
A neuro-fuzzy controller for speed control of a permanent magnet synchronous motor drive
Expert Systems with Applications: An International Journal
Neural network model-based automotive engine air/fuel ratio control and robustness evaluation
Engineering Applications of Artificial Intelligence
Fuzzy-identification-based adaptive backstepping control using a self-organizing fuzzy system
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Dynamic structure adaptive neural fuzzy control for MIMO uncertain nonlinear systems
Information Sciences: an International Journal
Stable adaptive control with recurrent neural networks for square MIMO non-linear systems
Engineering Applications of Artificial Intelligence
A neural network model-based observer for idle speed control of ignition in SI engine
Engineering Applications of Artificial Intelligence
Neuro-adaptive compliant force/motion control of uncertain constrained wheeled mobile manipulators
International Journal of Robotics and Automation
SYNCHRONIZATION OF CHAOTIC GYRO SYSTEMS USING RECURRENT WAVELET CMAC
Cybernetics and Systems
Automatica (Journal of IFAC)
Adaptive fuzzy wavelet neural controller design for chaos synchronization
Expert Systems with Applications: An International Journal
Fire-rule-based direct adaptive type-2 fuzzy H∞ tracking control
Engineering Applications of Artificial Intelligence
Evolutionary neural networks and DNA computing algorithms for dual-axis motion control
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
Fingerprint and speaker verification decisions fusion using a functional link network
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Nonlinear dynamic system identification using Chebyshev functionallink artificial neural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive Sliding-Mode Control for NonlinearSystems With Uncertain Parameters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Nonsingular Terminal Sliding Mode Control of Robot Manipulators Using Fuzzy Wavelet Networks
IEEE Transactions on Fuzzy Systems
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
IEEE Transactions on Fuzzy Systems
Adaptive dynamic CMAC neural control of nonlinear chaotic systems with L2 tracking performance
Engineering Applications of Artificial Intelligence
A new class of wavelet networks for nonlinear system identification
IEEE Transactions on Neural Networks
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Chaos control can be applied in the vast areas of physics and engineering systems, but the parameters of chaotic system are inevitably perturbed by external inartificial factors and cannot be exactly known. This paper proposes an adaptive neural complementary sliding-mode control (ANCSC) system, which is composed of a neural controller and a robust compensator, for a chaotic system. The neural controller uses a functional-linked wavelet neural network (FWNN) to approximate an ideal complementary sliding-mode controller. Since the output weights of FWNN are equipped with a functional-linked type form, the FWNN offers good learning accuracy. The robust compensator is designed to eliminate the effect of the approximation error introduced by the neural controller upon the system stability in the Lyapunov sense. Without requiring preliminary offline learning, the parameter learning algorithm can online tune the controller parameters of the proposed ANCSC system to ensure system stable. Finally, it shows by the simulation results that favorable control performance can be achieved for a chaotic system by the proposed ANCSC scheme.