Robust H_∞ Filtering for Stochastic Networked Control System with Nonlinearities and Missing Measurements

Abstract:

This paper investigate the problem of Robust H∞ filtering for stochastic networked control system with nonlinearities and missing measurements. In this paper, missing measurements and nonlinearities are considered. The sufficient conditions for the existence of the filter are given, thus, guaranteeing the filter error system exponentially stable in the mean-square sense and the performance satisfies a prescribed level by employing the new Lyapunov-Krasovskii functional and linear matrix inequality technique, some new sufficient conditions are obtained.

• Periodical: Advanced Materials Research (Volumes 503-504)
• Pages: 1458-1462
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.503-504.1458
• Online since: April 2012
• Authors: Jun Cheng, Hong Zhu, Yu Ping Zhang, Yong Zeng
• Keywords: H_∞ Filtering, Linear Matrix Inequality (LMI), Lyapunov-Krasovskii Function, Missing Measurements, Stochastic Control, Time-Varying Delay

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