使用内点法进行带有阶段性相等和不等式约束的微分动态程序设计

Siddharth Prabhu, Srinivas Rangarajan, Mayuresh Kothare
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引用次数: 0

摘要

微分动态程序设计(DDP)是解决最优控制问题的间接方法之一。为了增加阶段性的状态和控制约束,对 DDP 提出了几种扩展方法,主要可分为增强拉格朗日法、活动集法和屏障法。在本文中,我们使用了一种内点法,即屏障法的一种,来加入任意的阶段性相等和不等式状态和控制约束。我们还为所有相关变量提供了明确的更新公式。最后,我们将该算法应用于倒立摆、连续搅拌罐反应器、停车场和避障等示例系统。
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Differential dynamic programming with stagewise equality and inequality constraints using interior point method
Differential Dynamic Programming (DDP) is one of the indirect methods for solving an optimal control problem. Several extensions to DDP have been proposed to add stagewise state and control constraints, which can mainly be classified as augmented lagrangian methods, active set methods, and barrier methods. In this paper, we use an interior point method, which is a type of barrier method, to incorporate arbitrary stagewise equality and inequality state and control constraints. We also provide explicit update formulas for all the involved variables. Finally, we apply this algorithm to example systems such as the inverted pendulum, a continuously stirred tank reactor, car parking, and obstacle avoidance.
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