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Event‐Based State Estimation for Networked Singularly Perturbed Complex Networks

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  • Zerong Ren

Abstract

This paper deals with the multievent‐triggering‐based state estimation for a class of discrete‐time networked singularly perturbed complex networks (SPCNs). A small singularly perturbed scalar is adopted to establish a discrete‐time SPCNs model. To reduce the communication burdens, the data transmission between the sensor and the estimator is managed by a multievent generator function. Depending on the singularly‐perturbed‐based Lyapunov theory, a sufficient condition is constructed to guarantee that the estimation error is exponentially ultimately bounded in the mean square. Finally, the validity of the developed result is demonstrated by a simulation example.

Suggested Citation

  • Zerong Ren, 2022. "Event‐Based State Estimation for Networked Singularly Perturbed Complex Networks," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:6122921
    DOI: 10.1155/2022/6122921
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    References listed on IDEAS

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    1. Sivaranjani, K. & Rakkiyappan, R. & Cao, Jinde & Alsaedi, Ahmed, 2017. "Synchronization of nonlinear singularly perturbed complex networks with uncertain inner coupling via event triggered control," Applied Mathematics and Computation, Elsevier, vol. 311(C), pages 283-299.
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