Robust Fault Diagnosis for a Class of Nonlinear Systems with Unknown Parameters
一类具有未知参变量的非线性系统的鲁棒故障诊断(英文)

The fault diagnosis problem for a class of nonlinear systems with unknown parameters in both states and inputs is discussed. Under some geometric conditions, the systems are transformed into two different subsystems. One is not affected by actuator faults, so the nonlinear adaptive observer and the parameter adaptive law can be designed. The other whose states can be measured is affected by the faults. The observation scheme is then used for model based monitoring and fault diagnosis. Selection of threshold is investigated. Finally, a numerical example is used to illustrate the applicability of the proposed method.