Fault detection of networked control systems based on fuzzy adaptive Interacting Multiple-Model algorithm
In this paper, the fault detection and the state estimation problems are investigated for a class of networked control systems with random transfer delay. First, Markovian jumping systems are modeled by assuming the random transfer delay satisfying a Markov chain. Then, Interacting Multiple- Model algorithm is used to detect fault and estimate system state at the same time based on the model developed. When the measurement covariance matrix changes abruptly, fuzzy logic is introduced to prevent the estimated error of Kalman filter occurring. Finally, a numerical example is presented to illustrate the effectiveness of the proposed algorithm.
fault detection state estimation networked cotrol systems Interacting Multiple-Model fuzzy logic
Erzhuo Niu Qing Wang Chaoyang Dong
Science and Technology on Aircraft Control LaboratoryBeihang University, Beijing, China School of Aeronautical Science and Engineering Beihang University, Beijing, China
国际会议
IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)
北京
英文
1113-1117
2012-07-25（万方平台首次上网日期，不代表论文的发表时间）