Optimal control of a dynamical system with intermediate phase constraints and applications in cash management

IF 1.1 Q2 MATHEMATICS, APPLIED
Mourad Azi, Mohand Ouamer Bibi
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引用次数: 1

Abstract

The aim of this work is to apply the results of R. Gabasov et al. [ 4 , 14 ] to an extended class of optimal control problems in the Bolza form, with intermediate phase constraints and multivariate control. In this paper, the developed iterative numerical method avoids the discretization of the dynamical system. Indeed, by using a piecewise constant control, the problem is reduced for each iteration to a linear programming problem, this auxiliary task allows to improve the value of the quality criterion. The process is repeated until the optimal or the suboptimal control is obtained. As an application, we use this method to solve an extension of the deterministic optimal cash management model of S.P. Sethi [ 31 , 32 ]. In this extension, we assume that the bank overdrafts and short selling of stock are allowed, but within the authorized time limit. The results of the numerical example show that the optimal decision for the firm depends closely on the intermediate moment, the optimal decision for the firm is to purchase until a certain date the stocks at their authorized maximum value in order to take advantage of the returns derived from stock. After that, it sales the stocks at their authorized maximum value in order to satisfy the constraint at the intermediate moment.
具有中间阶段约束的动态系统的最优控制及其在现金管理中的应用
这项工作的目的是将R. Gabasov等人[4,14]的结果应用于具有中间阶段约束和多元控制的Bolza形式的扩展类最优控制问题。本文提出的迭代数值方法避免了动力系统的离散化。实际上,通过使用分段常量控制,每次迭代的问题被简化为线性规划问题,这个辅助任务允许提高质量标准的值。这一过程不断重复,直到获得最优或次优控制。作为应用,我们利用该方法求解了S.P. Sethi的确定性最优现金管理模型的一个扩展[31,32]。在此扩展中,我们假设允许银行透支和卖空股票,但在授权的时间限制内。数值算例的结果表明,企业的最优决策密切依赖于中间时刻,企业的最优决策是在某一日期之前以授权最大值购买股票,以获得股票收益。然后,为了满足中间时刻的约束,以授权最大值出售股票。
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来源期刊
CiteScore
3.10
自引率
0.00%
发文量
62
期刊介绍: Numerical Algebra, Control and Optimization (NACO) aims at publishing original papers on any non-trivial interplay between control and optimization, and numerical techniques for their underlying linear and nonlinear algebraic systems. Topics of interest to NACO include the following: original research in theory, algorithms and applications of optimization; numerical methods for linear and nonlinear algebraic systems arising in modelling, control and optimisation; and original theoretical and applied research and development in the control of systems including all facets of control theory and its applications. In the application areas, special interests are on artificial intelligence and data sciences. The journal also welcomes expository submissions on subjects of current relevance to readers of the journal. The publication of papers in NACO is free of charge.
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