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Delay-Dependent Finite-TimeHFiltering for Markovian Jump Systems with Different System Modes
Author(s) -
Yong Zeng,
Jun Cheng,
Shouming Zhong,
Xiucheng Dong
Publication year - 2013
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2013/269091
Subject(s) - algorithm , computer science , randomness , artificial intelligence , mathematics , statistics
This paper is concerned with the problem of delay-dependent finite-time H∞ filtering for Markovian jump systems with different system modes. By using the new augmented multiple mode-dependent Lyapunov-Krasovskii functional and employing the proposed integrals inequalities in the derivation of our results, a novel sufficient condition for finite-time boundness with an H∞ performance index is derived. Particularly, two different Markov processes have been considered for modeling the randomness of system matrix and the state delay. Based on the derived condition, the H∞ filtering problem is solved, and an explicit expression of the desired filter is also given; the system trajectory stays within a prescribed bound during a specified time interval. Finally, a numerical example is given to illustrate the effectiveness and the potential of theproposed techniques

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