Method for solving an optimal control problem in the Mayer form with a quasidifferentiable functional in the presence of phase constraints

A. Fominyh, V. Karelin, L. Polyakova
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Abstract

The article considers the problem of optimal control of an object described by a system of ordinary differential equations with a continuously differentiable right-hand side and with a nonsmooth (but only a quasidifferentiable) quality functional. The problem is in the Mayer form with either free or partially fixed right end. Piecewise-continuous and bounded controls are supposed to be admissible if they lie in some parallelepiped at any moment of time. The phase coordinates and controls are also subject to mixed pointwise constraints. Phase constraints are taken into account by introducing new variables with known boundary conditions into the system. The standard discretization of the original system and the parametrization of the control are carried out, theorems are given on the convergence of the solution of the discrete system obtained to the desired solution of the continuous problem. Further, in order to study the resulting discrete system, the apparatus of quasidifferential calculus is used and the method of the quasidifferential descent is applied. Examples illustrating the operation of the algorithm are given.
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具有相位约束的拟可微泛函Mayer型最优控制问题的求解方法
研究了一类常微分方程系统的最优控制问题,该系统具有连续可微的右手边和非光滑(但只有拟可微)泛函。问题是在梅尔形式与自由或部分固定的右端。如果分段连续和有界控制在任意时刻位于某个平行六面体上,则假定它们是允许的。相位坐标和控制也受混合点约束。通过在系统中引入具有已知边界条件的新变量来考虑相位约束。对原系统进行了标准离散化和控制参数化,给出了离散系统解对连续问题期望解的收敛性定理。进一步,为了研究得到的离散系统,使用了准微分学的仪器和准微分下降的方法。给出了算法的具体操作实例。
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来源期刊
CiteScore
1.30
自引率
50.00%
发文量
10
期刊介绍: The journal is the prime outlet for the findings of scientists from the Faculty of applied mathematics and control processes of St. Petersburg State University. It publishes original contributions in all areas of applied mathematics, computer science and control. Vestnik St. Petersburg University: Applied Mathematics. Computer Science. Control Processes features articles that cover the major areas of applied mathematics, computer science and control.
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