Nonfragile Quantized Dissipative Filter for Nonlinear Networked Systems

Kewang Huang, Jianfeng Wang and Feng Pan

Mathematical Problems in Engineering, 2019, vol. 2019, 1-14

Abstract:

To address the problem of filter parameter perturbation in nonlinear networked systems, a nonfragile quantized dissipative filter is designed by considering the coexistence of random one-step time delay, multipacket losses, and quantization error. We acquired the sufficient conditions for the existence of filter by choosing appropriate Lyapunov function as well as utilizing linear matrix inequality. Furthermore, we obtained the parameter expressions of the designed filter. The designed filter could meet the performance requirements of stability and dissipativity for the filter error system under the condition of allowed time delays, packet loss probability, and quantization density. The effectiveness of the designed filter is verified by numerical simulation.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:5659873

DOI: 10.1155/2019/5659873

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