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Adaptive neural network control of nonlinear delay systems

Author: LiQinQin
Tutor: WangQiangDe
School: Qufu Normal University
Course: Operational Research and Cybernetics
Keywords: Nonlinear systems Time delay Adaptive control Neural Networks backstepping approach
Type: Master's thesis
Year: 2010
Downloads: 99
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In recent years, the non-linear system control problem has become a hot topic in many design and analysis for time delay nonlinear systems, adaptive control theory as a nonlinear control strategies, especially for adaptive neural network control based on backstepping method to control the complex nonlinear system. further also become one of the major hot spots. neural network theory is applied to the time delay nonlinear systems, achieved good control effect of this article for nonlinear system, combined with the time delay of a class of partially unknown nonlinear term and part of the unknown parameters adaptive neural network design method and backstepping design method gives a robust adaptive neural network based on Lyapunov stability principle control design. known through the full use of the system in the promotion of information and select the appropriate system design parameters, this design not only reduces the calculation of the neural network, but also to ensure that the control performance of the closed-loop system, and further given the control strategy Application. simulation results show the effectiveness of the proposed method. thesis is divided into five chapters, the first chapter gives a time delay adaptive control of nonlinear systems research status and significance, the object of study and research Chapter II of the content. consider the problem of adaptive control of a class of nonlinear time delay system. Lyapunov function first and backstepping method to design an adaptive state feedback controller, re-use recursive principle constructed Lyapunov function and the stabilization control the decomposition of complex nonlinear systems into a subsystem does not exceed the order of the system, and then for each subsystem virtual control of the amount of the Lyapunov function and middle part of the design. According to this method, we have been \the entire adaptive nonlinear time-delay systems, and finally select the type of Lyapunov function. above work to ensure that the closed-loop system is globally asymptotically stable. third chapter studies a class of unknown nonlinear delay systems, adaptive neural network to control the output feedback control and we only use a neural network to compensate for all unknown upper bound function. mentioned design method can guarantee that all signals of the closed-loop system semi-globally uniformly ultimately bounded Chapter for a class of strict feedback nonlinear time-delay system proposed adaptive neural network control. Unknown smooth function vectors and unknown time delay function is approximated by two neural networks, respectively, making the unknown delay function to relax. mentioned in the text backstepping design method can guarantee that all signals of the closed-loop system semi-globally uniformly ultimately bounded, the output of the system can converge to a predetermined trajectory of a small neighborhood. simulation results show the effectiveness of the method. Chapter V of the full text Overview and summary of future work prospects.

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Automatic control theory
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