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基于乐观值的不确定线性奇异系统最优控制及其在动态投入产出模型中的应用

Optimistic value based optimal control for uncertain linear singular systems and application to a dynamic input-output model.

作者信息

Shu Yadong, Zhu Yuanguo

机构信息

School of Science, Nanjing University of Science and Technology, Nanjing 210094, China.

出版信息

ISA Trans. 2017 Nov;71(Pt 2):235-251. doi: 10.1016/j.isatra.2017.08.007. Epub 2017 Aug 31.

Abstract

In this paper, optimal control problems for uncertain discrete-time singular systems and uncertain continuous-time singular systems are considered under optimistic value criterion. The above singular systems are assumed to be regular and impulse-free, and optimistic value method is employed to optimize uncertain objective functions. Firstly, based on Bellman's principle of optimality, a recurrence equation is presented for settling optimal control problems subject to uncertain discrete-time singular systems. Then, by applying the principle of optimality and uncertainty theory, an equation of optimality for an optimal control model subject to an uncertain continuous-time singular system is derived. The optimal control problem can be settled through solving the equation of optimality. Two numerical examples and a dynamic input-output model are given to show the effectiveness of the results obtained.

摘要

本文在乐观值准则下研究了不确定离散时间奇异系统和不确定连续时间奇异系统的最优控制问题。假设上述奇异系统是正则且无脉冲的,并采用乐观值方法对不确定目标函数进行优化。首先,基于贝尔曼最优性原理,给出了一个递推方程,用于求解不确定离散时间奇异系统的最优控制问题。然后,通过应用最优性原理和不确定性理论,推导了不确定连续时间奇异系统最优控制模型的最优性方程。最优控制问题可通过求解最优性方程来解决。给出了两个数值例子和一个动态投入产出模型,以说明所得结果的有效性。

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