Journal of Applied Sciences ›› 2015, Vol. 33 ›› Issue (3): 329-340.doi: 10.3969/j.issn.0255-8297.2015.03.011

• Control and System • Previous Articles    

Robust Estimation of Guaranteed Cost State for Complex Network with Missing Measurements

WAN You-hong, AN Wei-liang, FAN Chun-xia   

  1. College of Automation, Nanjing University of Posts and Telecommunications,
    Nanjing 210003, China
  • Received:2014-12-17 Revised:2015-02-02 Online:2015-05-30 Published:2015-02-02

Abstract: To deal with data dropouts and noise in data transmission, this paper studies
robust guaranteed cost state estimation of discrete-time complex networks, and focuses on
reducing influence of data dropouts and noises on state estimation. Using the Lyapunov
stability theory combined with stochastic analysis, an existence condition of the gain matrix
and the relevant design criteria used in the robust guaranteed cost state estimation are
proposed with linear matrix inequalities. With convergence of the estimation mean-square
error, the robust guaranteed cost performance requirements are satisfied. Numerical simulation
shows effectiveness and applicability of the proposed design approach.

Key words: complex network, noise, data dropouts, state estimation, robust guaranteed cost control

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