The small parameter method in the optimisation of a quasi-linear dynamical system problem

Q4 Mathematics
A. I. Kalinin, Leonid I. Lavrinovich, Darya Y. Prudnikova
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引用次数: 0

Abstract

We consider an optimisation problem for the transient process in a quasi-linear dynamical system (contains a small parameter at non-linearities) with a performance index that is a linear combination of energy costs and the duration of the process. An algorithm for constructing asymptotic approximations of a given order to the solution of this problem is proposed. The algorithm is based on the asymptotic decomposition by integer powers of a small parameter of the initial values of adjoint variables and the duration of the process that are finite-dimensional elements, according to which the solution of the problem is easily restored. The computational procedure of the algorithm includes solving the problem of optimising the transient process in a linear dynamical system, integrating systems of linear differential equations, and finding the roots of non-degenerate linear algebraic systems. We also show how the constructed asymptotic approximations can be used to construct optimal control in the problem under consideration for a given value of a small parameter.
准线性动力系统优化问题的小参数方法
我们考虑了一个准线性动力系统(在非线性时包含一个小参数)的瞬态过程的优化问题,其性能指标是能量成本和过程持续时间的线性组合。提出了一种构造给定阶的渐近逼近解的算法。该算法是基于伴随变量的初值和过程持续时间的一个小参数的整数幂渐近分解,根据它可以很容易地恢复问题的解。该算法的计算过程包括求解线性动力系统暂态过程的优化问题、线性微分方程组的积分问题和求非退化线性代数系统的根问题。我们还展示了如何使用构造的渐近逼近来构造问题中的最优控制,对于给定的一个小参数值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
21
审稿时长
16 weeks
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