On a Problem of Calculating the Solvability Set for a Linear System with Uncertainty

Pub Date : 2023-12-29 DOI:10.1134/s00122661230110083
A. A. Melnikova, P. A. Tochilin
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Abstract

We consider a linear-convex control system defined by a set of differential equations with continuous matrix coefficients. The system may have control parameters, as well as uncertainties (interference) the possible values of which are subject to strict pointwise constraints. For this system, over a finite period of time, taking into account the constraints, we study the problem of guaranteed hitting the target set from a given initial position despite the effect of uncertainty. The main stage of solving the problem is the construction of an alternating integral and a solvability set. To construct the latter, the greatest computational complexity is the calculation of the geometric difference between the target set and the set determined by the uncertainty. A two-dimensional example of this problem is considered for which a method is proposed for finding the solvability set without the need to calculate the convex hull of the difference of the support functions of the sets.

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关于计算具有不确定性的线性系统的可解集问题
摘要 我们考虑一个线性-凸控制系统,该系统由一组具有连续矩阵系数的微分方程定义。该系统可能有控制参数以及不确定性(干扰),其可能的取值受到严格的定点约束。对于这个系统,在有限的时间内,考虑到约束条件,我们研究了在不确定性的影响下保证从给定初始位置击中目标集的问题。解决问题的主要阶段是构建交替积分和求解集。要构建后者,最大的计算复杂性在于计算目标集与由不确定性决定的集之间的几何差值。我们考虑了这一问题的二维实例,并提出了一种无需计算集合支撑函数差凸壳即可找到可解集的方法。
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