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Distributed H_{\infty } Filtering for Polynomial Nonlinear Stochastic Systems in Sensor Networks

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4 Author(s)
Bo Shen ; Sch. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China ; Zidong Wang ; Hung, Y.S. ; Chesi, G.

In this paper, the distributed H filtering problem is addressed for a class of polynomial nonlinear stochastic systems in sensor networks. For a Lyapunov function candidate whose entries are polynomials, we calculate its first- and second-order derivatives in order to facilitate the use of Itô's differential rule. Then, a sufficient condition for the existence of a feasible solution to the addressed distributed H filtering problem is derived in terms of parameter-dependent linear matrix inequalities (PDLMIs). For computational convenience, these PDLMIs are further converted into a set of sums of squares that can be solved effectively by using the semidefinite programming technique. Finally, a numerical simulation example is provided to demonstrate the effectiveness and applicability of the proposed design approach.

Published in:

Industrial Electronics, IEEE Transactions on  (Volume:58 ,  Issue: 5 )

Date of Publication:

May 2011

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