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Unbiased $H_\infty $ filtering for neutral Markov jump systems. (English) Zbl 1152.93052
Summary: The unbiased $H_{\infty }$ filtering problem is studied for stochastic Markov jump system with constant and neutral time-delays. By reconstructing the system, the dynamic filtering error characteristics of unknown inputs and time-delays are obtained. A sufficient condition is initially established on the existence of mode-dependent unbiased $H_{\infty }$ filter of constant time-delay system using stochastic Lyapunov-Krasovskii function. Then, the unbiased $H_{\infty }$ filter is also designed for the jump system with constant and neutral time-delays. The design criterions are presented in the form of linear matrix inequality. Finally, the unbiased $H_{\infty }$ filtering problems are described as optimization algorithms. Numerical examples illustrate the effectiveness of the developed techniques.

MSC:
93E11Filtering in stochastic control
60J75Jump processes
93E25Computational methods in stochastic control
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Full Text: DOI
References:
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