caa a22 4500 606205187 CHVBK 20210128101006.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s00034-015-0003-y doi (NATIONALLICENCE)springer-10.1007/s00034-015-0003-y Robust Fault Detection for Nonlinear Networked Systems with Multiple Fading Measurements [Elektronische Daten] [Shun Jiang, Huajing Fang, Feng Pan] In this paper, the fault detection problem is investigated for a class of nonlinear networked systems with multiple fading measurements. A stochastic Rice fading model is employed to simultaneously describe the phenomena of random time delays and channel fadings via setting different values of the channel coefficients. Attention is focused on the design of a full-order fault detection filter such that the overall fault detection dynamics is exponentially mean-square stable and the disturbance rejection attenuation is constrained to a prescribed level by means of the $$H_{\infty }$$ H ∞ performance index. Intensive stochastic analysis is carried out to obtain sufficient conditions for the existence of the desired fault detection filter, and the corresponding optimal filter parameters can be easily derived by solving a convex optimization problem via a semi-definite program method. Finally, a numerical example is exploited to illustrate the effectiveness of the proposed method. Springer Science+Business Media New York, 2015 Fault detection nationallicence Networked systems nationallicence Channel fadings nationallicence Sector-bounded nonlinearity nationallicence Jiang Shun Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, 214122, Wuxi, People's Republic of China aut Fang Huajing School of Automation, Huazhong University of Science and Technology, 430074, Wuhan, People's Republic of China aut Pan Feng Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, 214122, Wuxi, People's Republic of China aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/9(2015-09-01), 2873-2891 0278-081X 34:9<2873 2015 34 34 https://doi.org/10.1007/s00034-015-0003-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-015-0003-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jiang Shun Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, 214122, Wuxi, People's Republic of China aut NATIONALLICENCE 700 1- Fang Huajing School of Automation, Huazhong University of Science and Technology, 430074, Wuhan, People's Republic of China aut NATIONALLICENCE 700 1- Pan Feng Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, 214122, Wuxi, People's Republic of China aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/9(2015-09-01), 2873-2891 0278-081X 34:9<2873 2015 34 34