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1 Journal of Artificial Intelligence and Soft Computing Research

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New event based H∞ state estimation for discrete-time recurrent delayed semi-markov jump neural networks via a novel summation inequality

Cao Yang, Maheswari K., Dharan S., Sivaranjani K.

Journal of Artificial Intelligence and Soft Computing Research

2022

Vol. 12, No. 3

207--227

This paper investigates the event-based state estimation for discrete-time recurrent delayed semi-Markovian neural networks. An event-triggering protocol is introduced to find measurement output with a specific triggering condition so as to lower the burden of the data communication. A novel summation inequality is established for the existence of asymptotic stability of the estimation error system. The problem addressed here is to construct an H∞ state estimation that guarantees the asymptotic stability with the novel summation inequality, characterized by event-triggered transmission. By the Lyapunov functional technique, the explicit expressions for the gain are established. Finally, two examples are exploited numerically to illustrate the usefulness of the new methodology.