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In this paper, an adaptive interval type-2 fuzzy neural network (FNN) controller is presented to synchronize multivariable chaotic systems with training data corrupted by noise or rule uncertainties. Adaptive interval type-2 FNN control scheme and sliding mode approach are incorporated to deal with the synchronization of two non-identical chaotic systems. In the meantime, based on the adaptive fuzzy...
To synchronize chaotic systems with training data corrupted by noise or rule uncertainties involving external disturbances, a novel direct adaptive interval type-2 fuzzy neural network (FNN) controller in which linguistic fuzzy control rules can be directly incorporated into the controller is developed in this paper. By incorporating direct adaptive interval type-2 FNN control scheme and sliding mode...
This paper studies a robust chaos suppression control of non-autonomous chaotic systems. In the control scheme, a sliding mode controller (SMC) is used to suppress the chaotic horizontal platform (HPS) system excited by harmonic external forces, between which there exists parametric uncertainties. Based on Lyapunov stability theorem, control laws are derived. It is guaranteed that under the proposed...
Chaos synchronization of the unified chaotic systems subject to external disturbance and uncertainty is investigated. Based on the sliding mode control theory, the sliding mode controller is designed for the response system. The error system can be stabilized through partial states of the system which are controlled. The computing complexity and cost for controlling are reduced. At the same time,...
Most physical chaotic systems inherently contain nonlinearities which are commonly unknown to the system designer. Therefore, in modeling and analysis of such chaotic systems, one needs to handle unknown nonlinearities and/or uncertain parameters. This paper addresses two new adaptive output feedback controllers for a large class of chaotic systems with unknown dynamics in presence of external disturbances...
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