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In this paper, an adaptive neural network (NN) sliding mode controller is proposed to realize the chaos synchronization of two gap junction coupled FitzHugh-Nagumo (FHN) neurons under external electrical stimulation. The controller consists of two simple radial basis function (RBF) NNs which are used to approximate the desired sliding mode controller and the uncertain nonlinear part of the error dynamical...
We consider the assumption of existence of the general nonlinear internal model which is introduced in the design of robust output regulators for a class of minimum-phase nonlinear systems with rth degree (r ?? 2). The robust output regulation problem can be converted into a robust stabilization problem of an augmented system consisting of the given plant and a high-gain nonlinear internal model,...
A sliding mode control introducing a conditional integrator is proposed for the robust output regulation of DC/DC buck converter. Based on the input-output linearization from the state-space averaged model of DC/DC Buck converter, the robust output regulation problem of the converter can be converted into a robust stabilization problem of an augmented system consisting of the given buck converter...
An internal model control with conditional integrator is proposed for the robust output regulation of single-switch quadratic buck converters. The output regulation problem of a quadratic buck converter is converted to the stabilization of an augmented system consisting of the buck converter and the internal model. The design procedures include the design of an internal model with conditional integrator...
An adaptive internal model control strategy is introduced into the robust complete synchronization of two gap-junction coupled FizHugh-Nagumo (FHN) neurons under uncertain heterogeneous disturbances which satisfies some general immersion condition. The synchronization problem can be converted into a robust stabilization problem of an augmented system consisting of the original given plants and an...
In this paper, a hybrid control strategy, variable universe adaptive fuzzy sliding mode control, is proposed to realize the chaos synchronization of two gap junction coupled FitzHugh-Nagumo (FHN) neurons under external electrical stimulation. According to the Lyapunov stability theory, the stability of the closed error system is guaranteed. The control scheme is robust to the uncertainties such as...
In this paper, a hybrid control strategy, variable universe adaptive fuzzy sliding mode control, is proposed to realize the synchronization of two chaotic gyros in master-slave configuration. According to the Lyapunov stability theory, the stability of the closed-loop error system is guaranteed. The adaptive control scheme is robust to the system uncertainties and external disturbances. Chaos synchronization...
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