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Optimal LQG control based on the prediction for a robot system over wireless network

机译:基于预测的无线网络机器人系统最优LQG控制

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Based on the system which exists both delay and packet dropout not only in the forward path but also in the feedback path, the tracking problem of a wheeled mobile robot is presented, and the mathematic description is given. Then, a algorithm that combines a stochastic optimal control scheme with predictive control is proposed in this paper. The algorithm consists of two parts: the stochastic optimal control is used to deal with the delay which less than a sampling period, while the predictive control to give certain degree of compensation for delay which is more than a sampling period or the packet dropout. Finally, this algorithm is designed as a tracking controller. The simulation results show that the controller that takes the delays and the packet dropout into account indeed performs a good performance.
机译:基于存在于不仅在前向路径中的延迟和分组丢失的系统,而且还在反馈路径中,呈现了轮式移动机器人的跟踪问题,并且给出了数学描述。然后,在本文中提出了一种结合随机最佳控制方案的算法。该算法由两部分组成:随机最佳控制用于处理小于采样周期的延迟,而预测控制以多于采样周期或分组丢失的延迟给出一定程度的补偿程度。最后,该算法设计为跟踪控制器。仿真结果表明,考虑到延迟和数据包丢失的控制器确实执行了良好的性能。

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