Quantized H∞ Filtering for Discrete-time Networked Systems with Mixed Delays and Missing Measurements
In this paper, the H∞ filtering problem is investigated for networked systems subject to quantization, discrete and distributed delays as well as missing measurements over unreliable communication channel. The missing measurements are modeled as a linear function of the stochastic variable satisfying Bernoulli random binary distribution, while the quantized measured output signals are considered by using the logarithmic quantization. The purpose of this paper is to design a filter such that, for the mixed delays and unreliable communication channel, the filtering error system is asymptotically mean square stable, and the H∞ filtering performance index is satisfied. A sufficient condition for the solvability of the problem is derived, and the filter parameters are designed by solving a linear matrix inequality (LMI). Finally, a numerical example is illustrated to show the usefulness of the designed filtering method.
Networked control systems (NCSs) H∞ filtering mixed delays quantization missing measurements
YAN Huaicheng SU Zhenzhen ZHANG Hao SHI Hongbo
Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education; Department of Control Science and Engineering, Tongji University, Shanghai, 200092, China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
5966-5971
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）