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This paper is concerned with the adaptive consensus tracking problem for multi-AUV (autonomous underwater vehicle) systems with uncertain parameters. A neutral network-based command filtered backstepping control scheme is developed, which can guarantee the consensus tracking error of position converging to the desired neighborhood. Moreover, the proposed control scheme is completely distributed, since...
Considering the requirement of high accuracy and nonlinear problems in drive systems, a novel adaptive position tracking control approach based on neural networks is presented for permanent magnet synchronous motors with full-state constraints. The neural networks technique is employed to approximate the unknown nonlinear functions. Then, the barrier Lyapunov functions are used to restrict the state...
The synchronization of a couple of hyperchaotic systems is studied. Based on Lyapunov stabilization theory, the sufficient conditions and range of the control parameters for self-synchronization of the hyperchaotic system are derived through nonlinear feedback control method when parameters of the system are known. Synchronization of the hyperchaotic systems can be achieved quickly by selecting appropriate...
This paper investigated the problem of stability analysis for uncertain impulsive switched systems with multiple delays. Based on Lyapunov functional results for impulsive switched systems, uniformly asymptotic stability criteria are derived. The validity of the criteria is illustrated through an example.
Considering the influence of uncertainty as unknown nonlinearity, parameters perturbation and random waves disturbance to the fin stabilizer system during ship sailing in heavy sea, the random wave model is built and a robust controller based on adaptive backstepping, sliding mode and RBF neural network is proposed. Adaptive backstepping and sliding mode control is the main controller and RBF neural...
Wavelet chaotic neural network is a kind of chaotic neural network with non-monotonous activation function composed by Sigmoid and Wavelet. In this paper, wavelet chaotic neural network models with different nonlinear self-feedbacks are proposed and the effects of the different self-feedbacks on simulated annealing are analyzed respectively. Then the proposed models are applied to the 10-city traveling...
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