Optimal control for network control systems with state-package dropouts
Optimal control for network control systems with state-package dropouts
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DOI：
10.1109/cdc.2015.7402580
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发表时间：
2015-12
期刊：
影响因子：
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通讯作者：
Qingyuan Qi;Huanshui Zhang
中科院分区：
文献类型：
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作者：
Qingyuan Qi;Huanshui Zhang
研究具有状态包丢失的网络控制系统的最优测量反馈控制与估计问题。指出本文所考虑的问题实质上是一类乘性噪声随机系统的测量反馈控制问题。本文的主要贡献是导出了具有状态包丢失的NCS的最优估计（条件期望）。与间歇卡尔曼滤波器和线性最小均方误差估计器不同，该估计器不需要对到达过程{γκ}作任何条件，证明了它是最优的.利用最大值原理，将最优观测反馈控制和最优估计器分开求解，在最优控制策略下实现最优性能指标。
This paper is concerned with the optimal measurement feedback control and estimation problem for network control systems (NCSs) with state-package dropouts. It is noted that the considered problem in this paper is essentially the measurement feedback control for a multiplicative-noise stochastic system. The key contribution of this paper is to derive the optimal estimator (conditional expectation) for NCSs with state-package dropouts. Different from the intermittent Kalman filter and the linear minimum mean square error estimator, the presented estimator is proved to be optimal without conditioning on the arrival process {γκ}. With the use of maximum principle, the optimal measurement feedback control and the optimal estimator can be solved separately, and the optimal performance index is achieved under the optimal control strategy.