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一类随机时滞大系统的自适应NN控制

发表时间:2010-07-15  浏览量:1343  下载量:516
全部作者: 李靖,李俊民
作者单位: 西安电子科技大学理学院
摘 要: 针对一类随机非线性时滞大系统,采用非线性观测器,结合神经网络(neural network,NN)和backstepping的设计方法,提出一种自适应神经网络输出反馈分散控制设计方案,放松了对非线性时滞互联项的要求,通过构造状态四次、参数二次的全局Lyapunov�Krasovskii泛函证明整个闭环系统依概率渐近稳定,仿真实例说明了该方案的有效性。
关 键 词: 控制理论;自适应控制;神经网络;输出反馈分散镇定;随机非线性时滞大系统;非线性观测器
Title: Adaptive NN control for a class of large�scale stochastic systems with time�delays
Author: LI Jing, LI Junmin
Organization: School of Science, Xidian University
Abstract: A design scheme to the decentralized adaptive neural network (NN) output feedback control is proposed for a class of large�scale stochastic nonlinear systems with time delays by virtue of nonlinear observer, neural network and backstepping techniques. The requirement for nonlinear time�delay interconnections of the systems is relaxed. The whole closed�loop system can be proved to be asymptotically stable in probability by constructing an overall state quartic and parameter quadratic Lyapunov�Krasovskii functional. The simulation results demonstrate the effectiveness of the proposed control scheme.
Key words: control theory; adaptive control; neural network; output�feedback decentralized stabilization; large�scale stochastic nonlinear time�delay systems; nonlinear observer
发表期数: 2010年7月第13期
引用格式: 李靖,李俊民. 一类随机时滞大系统的自适应NN控制[J]. 中国科技论文在线精品论文,2010,3(13):1322-1329.
 
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