Robust State Estimation of Fractional-order Complex Networks with Parametric Uncertainties

被引：0
作者：
Chen Aimin [1 ,2 ]
Wang Xingwang [3 ]
Wang Junwei [4 ]
Liu Zhiguang [1 ,2 ]
Zhang Fengpan [1 ,2 ]
机构：
[1] Henan Univ, Inst Appl Math, Kaifeng 475004, Peoples R China
[2] Henan Univ, Sch Math & Informat Sci, Kaifeng 475004, Peoples R China
[3] Henan Univ, Construct Dept BASIC, Kaifeng 475004, Peoples R China
[4] Guangdong Univ Foreign Studies, Sch Informat, Guangzhou 510006, Guangdong, Peoples R China
来源：
2013 32ND CHINESE CONTROL CONFERENCE (CCC) | 2013年
基金：
中国国家自然科学基金;
关键词：
State Estimation; Fractional-order Derivative; Complex Networks; Parametric Uncertainty; Scalar Signals; SYNCHRONIZATION; SYSTEMS; CHAOS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with the robust state estimation problem of a class of uncertain fractional-order complex networks with norm-bounded parameter uncertainties. Through available scalar output signals, our aim is to design a state estimator to estimate the network states such that the estimation error is globally robustly asymptotically stable for all admissible parameter uncertainties. Based on the stability theory of fractional-order differential systems, a sufficient condition for the existence of the desired estimator gain is derived, and then the explicit expression of such estimator gain is characterized in terms of the solution to linear matrix inequalities. Finally, simulation examples are provided to show the effectiveness of the designed estimator.
引用
收藏
页码：396 / 401
页数：6
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