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Robust Adaptive Control for A Class of Uncertain Stochastic Delay Hamiltonian Systems

机译:一类不确定随机延迟哈密顿系统的强大自适应控制

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In this paper, we investigate the robust adaptive controller design problem for a class of time-delay stochastic Hamiltonian systems. The system under study involves stochastics, parameter uncertainties, unknown state time-delay and input delay. The aim of this problem is to design an uncertainty-independent adaptive control law such that for all admissible uncertainties as well as stochastics, the closed-loop Hamiltonian systems is robustly asymptotically stable in the mean square, independent of the time delay. Sufficient conditions are proposed to guarantee the rationality and validity of the proposed control law, which are derived based on Lyapunov functional method. The developed theory is illustrated by numerical simulation.
机译:在本文中,我们研究了一类时延随机汉密尔顿系统的强大自适应控制器设计问题。正在研究的系统涉及随机,参数不确定性,未知状态时滞和输入延迟。这个问题的目的是设计一个不确定性独立的自适应控制法,使得对于所有可接受的不确定性以及随机性,闭环汉密特系统在平均方形中具有稳健渐近的稳定性,与时滞无关。提出了足够的条件,以保证拟议的控制法的合理性和有效性,这是基于Lyapunov功能方法来源的。通过数值模拟说明了开发的理论。

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