Fault Identification for Lipschitz Nonlinear Systems

摘要：

Fault identification for a class of nonlinear systems is considered, where the nonlinear term in the system satisfies local Lipschitz conditions. Under some fault detectability conditions are satisfied, the system is first decomposed into two subsystems, where one is coupled with and another is decoupled from faults. One asymptotic state observer is then designed for the fault-coupled subsystem, in which a fictitious input is introduced to assure the state observer is asymptotic sable. It is proven that the actuator faults would be reconstructed from the fictitious input under steady state. Both stability analysis of the state observer and fault identification scheme design is given in a constructive manner and finally such a procedure is equivalent to solving a set of linear matrix inequalities.

关键词： Fault identification nonlinear systems asymptotic observer linear matrix inequality

作者: Fuqiang You Fuli Wang Zhizhong Mao Shouping Guan

作者单位: School of Information Science and Engineering, Northeastern University, Shenyang, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 2554-2557

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）