Robust fault detection of piecewise affine ARX systems

作     者：Young-Man Kim Young-Man Kim

作者机构：School of EngineeringLiberty University1971 University Blvd.LynchburgVAUSA 

出 版 物：《Journal of Control and Decision》 (控制与决策学报（英文）)

年 卷 期：2020年第7卷第3期

页      面：276-285页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Piecewise affine ARX fault detection regularisation convex optimisation sparsity 

摘      要：In this paper,l1 regularisation-based robust fault detection technique for PWARX(PieceWise affine Auto Regressive eXogenous)systems is *** problem is formulated in convex optimisation form using l1 regularisation hence,global solution can be *** regularisation constant plays a key role for finding the number of *** MSE(mean square error)value between actual system and its model under no fault is used as a threshold for tracking dynamics change and detecting *** simplicity of turning only one parameter(regularisation constant)outstands this approach from *** proposed algorithm also shows the capability of separating the dynamics change from additive fault under *** illustration concludes this proposal by demonstrating its effectiveness.