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Near-optimal control of nonlinear dynamical systems: A brief survey

机译:非线性动力学系统的近最优控制:简要概述

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For nonlinear dynamical systems, an optimal control problem generally requires solving a partial differential equation called the Hamilton-Jacobi-Bellman equation, the analytical solution of which generally cannot be obtained. However, the demand for optimal control keeps increasing, with the goal to save energy, reduce transient time, minimize error accumulation, etc. Consequently, methods were reported to approximately solve the problem leading to the so-called near-optimal control, although their technical details differ. This research direction has experienced great progress in recent years but a timely review of it is still missing. This paper serves as a brief survey for existing methods in this research direction. (C) 2019 Elsevier Ltd. All rights reserved.
机译:对于非线性动力系统,最佳控制问题通常需要求解一个称为Hamilton-Jacobi-Bellman方程的偏微分方程,该方程通常无法获得其解析解。然而,为了节省能量,减少瞬态时间,最小化误差累积等目标,对最优控制的需求一直在增长。因此,据报道,虽然方法可以近似地解决导致所谓的近最优控制的问题,但仍可以解决这些问题。技术细节有所不同。近年来,该研究方向取得了长足的进步,但仍缺乏及时的审查。本文是对本研究方向中现有方法的简要概述。 (C)2019 Elsevier Ltd.保留所有权利。

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