Abstract

This paper is concerned with the reliable nonlinear H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> filtering problem against sensor failures for a class of continuous-time systems with sector-bounded nonlinearities. The resulting design is such that the filtering error system is asymptotically stable and meets the prescribed H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> norm constraint in normal case as well as in sensor failure case. What's worth mentioning is that the paper proposes a new method which combines S-procedure approach to solve the sector-bounded nonlinearities. A sufficient condition for the existence of such a filter is obtained by using appropriate Lyapunov functional and linear matrix inequality (LMI) techniques. In addition, based on this result, a convex LMI-based optimization method is developed to optimize the H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> performance. A numerical example is provided to demonstrate the effectiveness of the proposed design.

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