Discrete‐time linear quadratic gaussian control with input delay and Markovian packet dropouts

Xiao Lu, Yuanyu Cai, Xiao Liang, Hongyu Sun
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Abstract

This article investigates the finite horizon linear quadratic gaussian (LQG) control problem for networked control systems with two‐way Markovian packet dropouts and input delay, where packet dropouts occur from the sensor to the estimator and from the controller to the actuator, and delay occurs from the controller to the actuator. The novelty of this work lies in providing a complete solution for the optimal control problem subject to two‐way Markovian packet dropouts and input delay. The contributions of this article are as follows: first, by applying the maximum principle to the discrete‐time linear systems and the quadratic cost function involving input delay and Markovian packet dropouts, a solution to the forward and backward stochastic difference equations (FBSDEs) is derived. Second, a sufficient and necessary condition for the optimal control problem is obtained by decoupling the coupled Riccati equations. Finally, the explicit solution of the optimal controller is presented based on the complete square method. Numerical examples are provided to demonstrate the validity of the theoretical results.

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带有输入延迟和马尔可夫丢包的离散时间线性二次高斯控制
本文研究了具有双向马尔可夫丢包及输入延迟的网络控制系统的有限视界线性二次高斯(LQG)控制问题。这项工作的新颖之处在于为受双向马尔可夫丢包和输入延迟影响的最优控制问题提供了一个完整的解决方案。本文的贡献如下:首先,通过将最大值原理应用于离散时间线性系统以及涉及输入延迟和马尔可夫丢包的二次代价函数,得出了前向和后向随机差分方程(FBSDE)的解。其次,通过解耦耦合 Riccati 方程,得到了最优控制问题的充分必要条件。最后,基于完全平方法给出了最优控制器的显式解。还提供了数值示例来证明理论结果的正确性。
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