Optimal output feedback control for networked control systems with dual multi-memoryless channels

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Xueyang Li, Chunyan Han, Wei Wang, Juanjuan Xu
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引用次数: 0

Abstract

This paper delves into the output feedback control of systems with dual multi-memoryless channels, where the data packets transmitted from the sensor to the controller (S/C) and from the controller to the actuator (C/A) are suffered from two different multi-parallel Markovian fading channels. Two new multi-state Markovian chains are introduced, by which the multiple fading channels system is transformed into a new jumping parameter system. Then a stochastic maximum principle is given along with an optimal state feedback controller for the case that the state is known. When the state is unknown, a Markov jump linear estimator is designed by using the completing square method. In this case, an output feedback controller is obtained by substituting the real system state with its estimation. Meanwhile, the separation principle is shown. Finally, the validity of these methods is verified by simulation examples.

双多无记忆通道网络控制系统的最佳输出反馈控制
从传感器到控制器(S/C)和从控制器到执行器(C/A)传输的数据包来自两个不同的多并行马尔可夫衰减信道。通过引入两个新的多态马尔可夫链,多重衰落信道系统被转化为一个新的跳跃参数系统。然后,针对状态已知的情况,给出了随机最大原则和最优状态反馈控制器。在状态未知的情况下,利用完成平方法设计马尔可夫跳跃线性估计器。在这种情况下,将实际系统状态代入其估计值即可得到输出反馈控制器。同时,还展示了分离原理。最后,通过仿真实例验证了这些方法的有效性。
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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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