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State estimation for a class of complex networks with event-triggered transmission scheme

Zou, L, Wang, Z and Stergioulas, LK (2014) State estimation for a class of complex networks with event-triggered transmission scheme ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing. pp. 289-294.

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© 2014 Chinese Automation and Computing Society in the UK-CACS.In this paper, the state estimation problem is investigated for a class of complex networks with the event-triggered transmission scheme. Different from the periodically triggered communication, the measurement from the sensors is transmitted to the estimator only when the so-called "event-triggered condition" is satisfied in the event-triggered transmission scheme, thereby reducing the unnecessary network traffic between the sensors and the estimator. Attention is focused on the analysis and design of the estimator subject to the predetermined event-triggered transmission scheme such that the estimation error is bounded in mean square. Sufficient conditions are obtained for the existence of admissible estimators. The desired estimator gain matrices is derived via solving a convex problem based on Lyapunov theory combined with the stochastic analysis approach. A numerical example is given to illustrate the effectiveness of the results.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
Zou, L
Wang, Z
Date : 1 January 2014
DOI : 10.1109/IConAC.2014.6935502
Depositing User : Symplectic Elements
Date Deposited : 16 May 2017 15:32
Last Modified : 24 Jan 2020 14:55

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