Finite-time fault detection for quantized networked systems with Markov channel assignment pattern
In this paper,the finite-time fault detection problem for quantized large-scale networked systems is investigated.A nonlinear Markovian jump system model with partially unknown transition probabilities is employed to describe the Makov data assignment pattern.Based on this obtained model,in finite-time stability framework,the desired mode-dependent fault detection filter is constructed such that the augmented error system is finite-time stochastically stable with H?? attenuation level.Especially,the sufficient conclusions provide quantitative relationship between network characteristic,quantization level and finite-time system parameter with finite-time fault detection performance.The effectiveness of the proposed method is demonstrated by simulation examples.
Finite-time fault detection large-scale networked systems logarithmic quantization Markov channel assignment pattern partially unknown transition probabilities
Yong Zhang Rong Peng Zhenxing Liu
School of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
2995-3000
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）