caa a22 4500 606199616 CHVBK 20210128100939.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s11045-015-0324-9 doi (NATIONALLICENCE)springer-10.1007/s11045-015-0324-9 Sensor fault reconstruction for a class of 2-D nonlinear systems with application to fault compensation [Elektronische Daten] [Dong Zhao, Donghua Zhou, Youqing Wang] This paper considers the problem of sensor fault reconstruction and compensation for a class of two dimensional (2-D) nonlinear systems. The 2-D nonlinear system is described by the Fornasini-Marchesini local state-space second model with Lipschitz nonlinearity. The sensor fault considered in this study could be of arbitrary form and its size can be even unbounded. An integrated fault/state observer is proposed to obtain the asymptotic estimation of sensor faults and system states at the same time. A sufficient condition for the existence of the integrated observer is given in terms of linear matrix inequalities. $$H_\infty $$ H ∞ sensor fault estimation/reconstruction is also considered for the 2-D nonlinear system when there are both sensor faults and input disturbances. Based on the estimation of sensor faults, a sensor compensation scheme can be performed by subtracting the fault term from the measurement output, and the existing output feedback controller can run normally without the switchover of sensors or reconfiguration when sensor faults occur. An example is provided to illustrate the effectiveness of the proposed method for both sensor fault reconstruction and compensation. Springer Science+Business Media New York, 2015 Sensor fault reconstruction nationallicence Observer nationallicence 2-D nonlinear system nationallicence Fault compensation nationallicence Zhao Dong College of Information Science and Technology, Beijing University of Chemical Technology, 100029, Beijing, People's Republic of China aut Zhou Donghua Department of Automation, Tsinghua University, 100084, Beijing, People's Republic of China aut Wang Youqing College of Information Science and Technology, Beijing University of Chemical Technology, 100029, Beijing, People's Republic of China aut Multidimensional Systems and Signal Processing Springer US; http://www.springer-ny.com 26/4(2015-10-01), 1061-1080 0923-6082 26:4<1061 2015 26 11045 https://doi.org/10.1007/s11045-015-0324-9 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/s11045-015-0324-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhao Dong College of Information Science and Technology, Beijing University of Chemical Technology, 100029, Beijing, People's Republic of China aut NATIONALLICENCE 700 1- Zhou Donghua Department of Automation, Tsinghua University, 100084, Beijing, People's Republic of China aut NATIONALLICENCE 700 1- Wang Youqing College of Information Science and Technology, Beijing University of Chemical Technology, 100029, Beijing, People's Republic of China aut NATIONALLICENCE 773 0- Multidimensional Systems and Signal Processing Springer US; http://www.springer-ny.com 26/4(2015-10-01), 1061-1080 0923-6082 26:4<1061 2015 26 11045