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复杂系统与复杂性科学  2021, Vol. 18 Issue (1): 15-22    DOI: 10.13306/j.1672-3813.2021.01.003
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具有数据包丢失的网络控制系统的估计问题
韩笑, 亓庆源, 纪志坚
青岛大学自动化学院,山东 青岛 266071
Estimation for Networked Control Systems with Packet Losses
HAN Xiao, QI Qingyuan, JI Zhijian
School of Automation, Qingdao University, Qingdao 266071, China
全文: PDF(2153 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 主要考虑了具有数据包丢失的网络控制系统(NCSs)的估计问题。首先,给出经典的卡尔曼滤波估计器和协方差矩阵。当量测方程带有噪声时,通过递推的方法严格推导出最优估计(条件期望)。另外,根据系统丢包行为能否被观测到的估计问题,分情况进行讨论。最后,在实际应用中开发了一个次优的近似估计器。这对在大的有限域下研究具有数据包丢失的网络控制系统有所帮助,也为进一步分析网络控制系统的问题提供了研究方向。
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韩笑
亓庆源
纪志坚
韩笑
亓庆源
纪志坚
关键词 数据包丢失网络控制系统卡尔曼滤波最优估计协方差矩阵次优估计    
Abstract:In this paper, we mainly investigated the estimation of networked control systems (NCSs) with packet losses. Firstly, we introduced the classical Kalman filter estimator and the covariance matrix. When the measurement equation is with noise, we give the optimal estimator. The optimal estimator is strictly calculated by the recursive method. Moreover, according to whether the packet loss process can be observed, we discussed the estimation problem. Finally, for the application, a simple sub-optimal approximation estimator was developed. It will be helpful to study the NCSs with packet losses in large finite horizon, and provides the research direction for further analyzing the problem of NCSs.
Key wordspacket losses    NCSs    Kalman filter    optimal estimator    covariance matrix    sub-optimal estimator
收稿日期: 2020-07-27      出版日期: 2020-12-28
:  O23  
基金资助:国家自然科学基金(61873136,61374062,61603288);山东省杰出青年科学基金(JQ201419)
通讯作者: 纪志坚(1973),男,山东青岛人,博士,教授,主要研究方向为多智能体网络系统,复杂网络的分析与控制等。   
作者简介: 韩笑(1994),女,山东日照人,硕士研究生,主要研究方向为网络控制系统。
引用本文:   
韩笑, 亓庆源, 纪志坚. 具有数据包丢失的网络控制系统的估计问题[J]. 复杂系统与复杂性科学, 2021, 18(1): 15-22.
HAN Xiao, QI Qingyuan, JI Zhijian. Estimation for Networked Control Systems with Packet Losses[J]. Complex Systems and Complexity Science, 2021, 18(1): 15-22.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2021.01.003      或      https://fzkx.qdu.edu.cn/CN/Y2021/V18/I1/15
[1] Yang T C. Networked control system: a briefsurvey[J]. Control Theory and Applications, IEE Proceedings, 2006, 153(4): 403412.
[2] Hespanha J P, Naghshtabrizi P, Xu Y. A survey of recent results in networked control systems[J]. Proceedings of the IEEE, 2007, 95(1): 138162.
[3] Seiler P,Sengupta R. Analysis of communication losses in vehicle control problems[C]// American Control Conference, Proceedings of the 2001. Arlington, VA, USA: IEEE, 2001: 14911496.
[4] Meng C, Wang T M, Chou W S, et al. Remote surgery case: robot-assisted teleneurosurgery[C]// IEEE International Conference on Robotics & Automation. New Orleans, LA, USA: IEEE, 2004: 818823.
[5] Elia N. Remote stabilization over fading channels[J]. Systems & Control Letters, 2005, 54(3): 237249.
[6] Qi Q Y, Zhang H S. Output feedback control and stabilization for multiplicative noise systems with intermittent observations[J]. IEEE Transactions on Cybernetics, 2018, 48(7): 2128.
[7] Zhang H S, Xie L. Control and estimation of systems with input/output delays[DB/OL]. [20200624].https://xueshu.baidu.com/usercenter/paper/show?paperid=cd431a7ffa97057ab77c40cf47ad1bc6&site=xueshu_se.
[8] Kalman R E. A new approach to linear filtering and predicted problems[J]. Basic Eng, 1960, 82(1): 3545.
[9] Kalman R E. New results in linear filtering and prediction theory[J]. Basic Eng, 1961, 83(1): 95108.
[10] Nahi N. Optimal recursive estimation with uncertain observation[J]. IEEE Transactions on Information Theory, 1969, 15(4): 457462.
[11] Fortmann T E, Bar-Shalom Y, Scheffe M, et al. Detection thresholds for tracking in clutter-a connection between estimation and signal processing[J]. IEEE Transactions on Automatic Control, 1985, 30(3): 221229.
[12] Sinopoli B, Schenato L, Franceschetti M, et al. Kalman filtering with intermittent observations[J]. IEEE Transactions on Automatic Control, 2004, 1(9):14531464.
[13] Imer O C. Optimal control of LTI systems over unreliable communication links[J]. Automatica, 2006, 42(9): 14291439.
[14] Qi Q Y, Zhang H S. Output feedback control and stabilization for networked control systems with packet losses[J]. IEEE Transactions on Cybernetics, 2016, 47(8): 22232234.
[15] Zhang H, Song X, Shi L. Convergence andmean square stability of suboptimal estimator for systems with measurement packet dropping[J]. IEEE Transactions on Automatic Control, 2012, 57(5): 12481253.
[16] Jacobson V. Congestion avoidance andcontrol[J]. Acm Sigcomm Computer Communication Review, 1988, 18(4): 314329.
[17] Ma X, Qi Q, Zhang H. Optimaloutput feedback control and stabilization for NCSs with packet dropout and delay: TCP case[J]. Journal of Systems ence & Complexity, 2018, 31(1): 147160.
[18] Postel J B. User Datagram Protocol[M]. US: RFC Editor, 1980.
[19] Epstein M, Shi L, Murray R M. An Estimationalgorithm for a class of networked control systems using UDP-like communication schemes[C]// Proceedings of the IEEE Conference on Decision and Control. San Diego, CA, USA: IEEE, 2006: 55975603.
[20] Schenato L, Sinopoli B, Franceschetti M, et al. Foundations of control and estimation over lossy networks[J]. Proceedings of the IEEE, 2007, 95(1): 163187.
[21] Zhang W A, Li Y. Modelling and control of networked control systems with both network-induced delay and packet-dropout[J]. Automatica, 2008, 44(12): 32063210.
[22] Qi Q, Zhang H,Ji Z. Further results on stabilization for NCSs with packet losses and transmission delay: UDP case[J]. Journal of the Franklin Institute, 2019, 356(8): 46014621.
[23] Mo Y L, Garone E, Sinopoli B. LQG control with Markovian packet loss[C]// 2013 European Control Conference. Zurich, Switzerland: IEEE, 2013: 23802385.
[24] Brian D O A, John B M. Optimal Filtering[M]. NJ: Prentice-Hall, Englewood Cliffs, 1979.
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