摘要
A problem of topology identification for complex dynamical networks is investigated in this paper. An adaptive observer is proposed to identify the topology of a complex dynamical networks based on the Lyapunov stability theory. Here the output of the network and the states of the observer are used to construct the updating law of the topology such that the communication resources from the network to its observer are saved. Some convergent criteria of the adaptive observer are derived in the form of linear inequality matrices. Several numerical examples are shown to demonstrate the effectiveness of the proposed observer.
A problem of topology identification for complex dynamical networks is investigated in this paper. An adaptive observer is proposed to identify the topology of a complex dynamical networks based on the Lyapunov stability theory. Here the output of the network and the states of the observer are used to construct the updating law of the topology such that the communication resources from the network to its observer are saved. Some convergent criteria of the adaptive observer are derived in the form of linear inequality matrices. Several numerical examples are shown to demonstrate the effectiveness of the proposed observer.
作者
樊春霞
万佑红
蒋国平
Fan Chun-Xia;Wan You-Hong;Jiang Guo-Ping(College of Automation,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
基金
supported in part by the National Natural Science Foundation of China (Grant Nos.60874091 and 61104103)
the Natural Science Fund for Colleges and Universities in Jiangsu Province,China (Grant No.10KJB120001)
the Climbing Program of Nanjing University of Posts & Telecommunications,China (Grant Nos.NY210013 and NY210014)
