混合动力机械系统的优化

A. García, V. Azhmyakov, M. Basin
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引用次数: 1

摘要

本文研究了一类机械系统混合最优控制问题的多目标优化技术。研究了一类由混合型欧拉-拉格朗日方程或汉密尔顿方程的边值问题所描述的一般非线性混合控制系统。相应解的变分结构使得将原来的“机械”问题简化为辅助的多目标规划重新表述成为可能。这种方法激发了与原始动力优化问题相关的多目标优化的理论和计算结果的可能应用。考虑了混合机械系统最优控制问题的一阶最优性条件,并讨论了一些概念算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of hybrid mechanical systems
This paper deals with multiobjective optimization techniques for a class of hybrid optimal control problems in mechanical systems. We deal with a general nonlinear hybrid control systems described by boundary-value problems associated with hybrid-type Euler-Lagrange or Hamilton equations. The variational structure of the corresponding solutions makes it possible to reduce the original ”mechanical” problem to an auxiliary multiobjective programming reformulation. This approach motivates possible applications of theoretical and computational results from multiobjective optimization related to the original dynamical optimization problem. We consider first order optimality conditions for optimal control problems governed by hybrid mechanical systems and also discuss some conceptual algorithms.
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