Gain scheduled L-two-L-infinity filtering for neutral systems with jumping and time-varying parameters

In this paper, global exponential stochastic stability based continuous gain-scheduled robust L-two-L-infinity filtering problem is studied for a class of stochastic neutral systems subject to time-varying parameters. First, the stochastic time-varying neutral systems are described by a series of st...

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Bibliographic Details
Main Authors: Yin, YanYan, Liu, F., Shi, Y.
Format: Journal Article
Published: 2012
Online Access:http://hdl.handle.net/20.500.11937/52711
Description
Summary:In this paper, global exponential stochastic stability based continuous gain-scheduled robust L-two-L-infinity filtering problem is studied for a class of stochastic neutral systems subject to time-varying parameters. First, the stochastic time-varying neutral systems are described by a series of stochastic time-constant systems at some selected time points, then based on stochastic Lyapunov-Krasovskii functional approach, a new globally exponentially stochastically stabilizable criterion is derived for each of the jumping system by means of linear matrix inequalities. Subsequently, L-two-L-infinity filtering systems are designed for such linear jump systems. Finally, continuous gain-scheduled approach is employed to design time-varying filter systems for the whole working region. A simulation example shows the effectiveness and potential of the developed techniques. © 2012 South China University of Technology, Academy of Mathematics and Systems Science, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.