SWITCHING TOPOLOGY ESTIMATION OF COMPLEX DYNAMICAL NETWORKS IN FINITE TIME
This note proposes a method to estimate the unknown switching topology of complex dynamical networks in finite time on the premise of persistence of excitation (PE). The estimation results are independent of estimator we choose. When PE condition cant be satisfied, an adaptive predictor is applied to estimate topology matrix. A sufficient condition ensuring the asymptotic convergence of the estimation error towards zero is given. Finally, the validity and feasibility of our methods are illustrated through a numerical example.
Complex network Topology estimation Finite time Adaptive control Persistence of excitation
F.Pan J.Yao W.S.Xu H.O.Wang
Department of Electronic and Computer EngineeringThe Hong Kong University of Science and Technology Department of Electronic and Computer EngineeringThe Hong Kong University of Science and Technology Department of Control Science and EngineeringTongji University, Shanghai, P. R. China Department of Mechanical EngineeringBoston University, Boston, MA, USA
国际会议
2012 International Conference on System Simulation(2012年国际系统仿真学术会议)
上海
英文
139-143
2012-04-06(万方平台首次上网日期,不代表论文的发表时间)