1st International ICST Conference on Communications and Networking in China

Research Article

Modeling and Stability Analysis of Networked Robot System with Network-induced Delay and Data Dropout

  • @INPROCEEDINGS{10.1109/CHINACOM.2006.344732,
        author={Qiao  Liu and Yi Li},
        title={Modeling and Stability Analysis of Networked Robot System with Network-induced Delay and Data Dropout},
        proceedings={1st International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2007},
        month={4},
        keywords={LQG control networked robot system (NRS) network-induced delay data dropout stability analysis},
        doi={10.1109/CHINACOM.2006.344732}
    }
    
  • Qiao Liu
    Yi Li
    Year: 2007
    Modeling and Stability Analysis of Networked Robot System with Network-induced Delay and Data Dropout
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2006.344732
Qiao Liu1,*, Yi Li2,*
  • 1: Electric and Information Engineering College, Changsha University of Science and Technology, Changsha 410076, Hunan Province, China
  • 2: Management School, Changsha University of Science and Technology, Changsha 410076, Hunan Province, China
*Contact email: niconew@china.com.cn, hellobb@126.com

Abstract

To the networked robot system (NRS) that drops packets randomly, we considered the problem of optimal linear quadratic Gaussian (LQG) control and analyzed the stability of a NRS by modeling it. By presenting a mathematical model based on a packet-dropped setting, we extended the familiar LQG separation principle, proposed an optimal algorithm irrespective of the packet drop pattern of the networked robot. For the case of packet drops occurring according to a Markov chain, the stability analysis was carried out. We used the uncertainty threshold principle to show that under certain conditions there was a rate for dropped packets for which an undisturbed networked control system with imperfect state observation was mean square stable, used a sub-optimal method to simplify the calculation of the estimator and controller, got the solution to the Riccati-like equation and guaranteed the mean square stability of the NRS with perfect state information.