Abstract The event-triggered state estimation is investigated for a class of complex networks system with randomly nonlinearities. A novel event-triggered scheme is proposed, which can reduce the information communication burden in the network. Considering the effect of transmission delay, a time-varying delayed system model is constructed. Attention of this paper is focused on the analysis and design of a reliable estimator for the complex networks through the available output measurements under event-triggered scheme. In order to design the state estimator, a Lyapunov functional approach and the linear matrix inequality technique are employed. A sufficient condition is obtained in which the estimator error dynamics is exponential asymptotically stable, and a state estimator of considered complex networks can be achieved by solving some linear matrix inequalities. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Event-Triggered State Estimation for Complex Systems with Randomly Nonlinearities and Time-Varying Delay


    Contributors:


    Publication date :

    2014-01-01


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Event-Triggered State Estimation for Complex Systems with Randomly Nonlinearities and Time-Varying Delay

    Tan, Y. / Liu, J. / Zhang, Y. | British Library Conference Proceedings | 2014


    Event-Triggered Time-Varying Bayesian Optimization

    Brunzema, Paul Jakob / Von Rohr, Alexander / Solowjow, Friedrich et al. | DataCite | 2025