Reliable H-infinity Filtering for Discrete Time-Delay Markovian Jump Systems with Partly Unknown Transition Probabilities

Yisha Liu (1) , Zidong Wang (2) , Wei Wang (3)

1 Research Centre of Information and Control
2 Information Systems and Computing
3 Research center of Information and Control

In this paper, the reliable H-infinity filtering problem is studied for a class of discrete nonlinear Markovian jump systems with sensor failures and time delays. The transition probabilities of the jumping process are assumed to be partly unknown. The failures of sensors are quantified by a variable taking values in a given interval. The time-varying delay is unknown with given lower and upper bounds. The purpose of the addressed reliable H-infinity filtering problem is to design a mode-dependent filter such that the filtering error dynamics is asymptotically mean-square stable and also achieves a prescribed H-infinity performance level. By using a new Lyapunov-Krasovskii functional and delay-partitioning technique, sufficient delay-dependent conditions for the existence of such a filter are obtained. The filter gains are characterized in terms of the solution to a convex optimization problem that can be easily solved by using the semi-definite programme method. A numerical example is provided to demonstrate the effectiveness of the proposed design approach.

Mots clés: Physical Sciences

Yisha Liu, Zidong Wang, Wei Wang. Reliable H-infinity Filtering for Discrete Time-Delay Markovian Jump Systems with Partly Unknown Transition Probabilities. International Journal of Adaptive Control and Signal Processing, 2011, 25 (6), pp.554. ⟨10.1002/acs.1231⟩. ⟨hal-00614057⟩