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H fuzzy filter design for uncertain nonlinear systems with Markovian jumps: an LMI approach

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4 Author(s)
Sing Kiong Nguang ; Dept. of Electr. & Comput. Eng., Auckland Univ., New Zealand ; Assawinchaichote, W. ; Peng Shi ; Yan Shi

The paper addresses the problem of designing a robust filter for a class of uncertain Markovian jump nonlinear systems described by a class of uncertain Takagi-Sugeno fuzzy models with Markovian jumps. Based on an LMI approach, LMI-based sufficient conditions that guarantee the L2-from an exogenous input to an estimation error is less than a prescribed value are derived. A tunnel diode circuit is used to illustrate the effectiveness of the proposed design techniques.

Published in:

American Control Conference, 2005. Proceedings of the 2005

Date of Conference:

8-10 June 2005