Sensor Fault Detection for Linear Continuous-Time Systems
This paper deals with the sensor fault detection problem for linear time-invariant continuous-time systems with disturbances and sensor noises. Two finite frequency performance indexes are introduced to increase the fault sensitivity and attenuate the effects of disturbances and noises. Different from the existing techniques, the recently developed Generalized Kalman-Yakubovich-Popov (GKYP) lemma is applied in this paper to treat the finite frequency performance indexes directly, completely avoiding the complexity of weighting functions of the existing approaches. The design methods are presented in terms of solutions to a set of linear matrix inequalities (LMIs). A numerical example is studied to illustrate the effectiveness of the proposed method.
Sensor fault Linear systems Generalized Kalman-Yakubovich-Popov (GKYP) lemma Linear matriz inequality(LMI)
Heng Wang He-Hua Ju Yu-Long Wang
College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang, Chin
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
1606-1610
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）