H∞ State Estimation for Discrete-Time Complex Networks with Linear Fractional Uncertainties
This paper is concerned with the state estimation problem for a class of discrete time-delay nonlinear complex networks with linear fractional uncertainties.The nonlinear functions are described by the sector-like nonlinearities that are more general than the commonly used Lipschitz ones.The purpose of the addressed problem is to design a state estimator to estimate the network states through available output measurements such that the dynamics of the estimation error is guaranteed to be globally asymptotically stable in the mean square and the effect from the exogenous disturbances to be estimation accuracy is attenuated a given level by means of an H∞-norm.In terms of a novel Lyapunov-Krasovskii functional and the Kronecker product,sufficient conditions are established under which the addressed state estimation problem is recast as solving a convex optimization problem via the semi-definite programming method.Finally,a numerical example is applied to demonstrate the effectiveness of the proposed state estimation approach.
Complex networks state estimation fractional uncertainty time-varying delays
Xiu Kan Huisheng Shu Zhenna Li
College of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai School of Information Science and Technology,Donghua University,Shanghai 200051,China
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
2553-2558
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）