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Robust adaptive control for a class of uncertain stochastic delay Hamiltonian systems

机译:一类不确定随机时滞哈密顿系统的鲁棒自适应控制

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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,我们研究了一类时滞随机哈密顿系统的鲁棒自适应控制器设计问题。所研究的系统涉及随机性,参数不确定性,未知状态时延和输入延迟。这个问题的目的是设计一个独立于不确定性的自适应控制律,以使得对于所有可容许的不确定性以及随机性,闭环哈密顿系统在均方上具有鲁棒渐近稳定,而与时间延迟无关。提出了充分的条件,以保证所提出的控制律的合理性和有效性,这些条件是基于Lyapunov函数法得出的。数值模拟说明了所发展的理论。

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