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Globalised Dual Heuristic Dynamic Programming in Tracking Control of the Wheeled Mobile Robot

机译:轮式移动机器人跟踪控制中的全局双重启发式动态规划

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The paper presents an application of the Approximate Dynamic Programming algorithm in Globalised Dual Heuristic Dynamic Programming configuration in the tracking control problem of the wheeled mobile robot Pioneer 2-DX. The Globalised Dual Heuristic Dynamic Programming algorithm is realised in the form of two structures, the actor and the critic, that can be implemented in the form of any adaptive algorithm, e.g. Artificial Neural Networks. The actor generates the suboptimal control law, the critic approximates the value function and its difference with respect to the states, what is equal to evaluation of the realised control law. The discrete tracking control system is composed of the Globalised Dual Heuristic Dynamic Programming algorithm, the PD controller and the supervisory term, which structure derives from the stability analysis realised using the Lapunov stability theorem. The proposed control system works on-line and its performance was verified using the wheeled mobile robot Pioneer 2-DX.
机译:本文提出了近似动态规划算法在全局双启发式动态规划配置中在轮式移动机器人Pioneer 2-DX的跟踪控制问题中的应用。全局双重启发式动态规划算法以演员和评论家这两种结构的形式实现,可以以任何自适应算法的形式来实现,例如自适应算法。人工神经网络。参与者产生次优控制律,评论家对价值函数及其相对于状态的差进行近似,这等于对已实现控制律的评估。离散跟踪控制系统由全局双重启发式动态规划算法,PD控制器和监控项组成,其结构是基于使用Lapunov稳定性定理实现的稳定性分析得出的。所提出的控制系统可以在线工作,其性能已通过轮式移动机器人Pioneer 2-DX进行了验证。

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