Fault estimation based on high order iterative learning scheme for systems subject to nonlinear uncertainties  

作　　者：Li FENG Shuiqing XU Ke ZHANG Yi CHAI Darong HUANG 

机构地区：[1]College of Traffic and Transportation,Chongqing Jiaotong University,Chongqing 400074,China [2]College of Electrical Engineering and Automation,Hefei University of Technology,Hefei 230009,China [3]College of Automation,Chongqing University,Chongqing 400044,China

出　　处：《Science China(Information Sciences)》2022年第7期257-258,共2页中国科学（信息科学）（英文版）

基　　金：supported by National Natural Science Foundation of China (Grant Nos. 61803055,61803140, 61573076, 61633005, 61673076);Technology Research Program of Chongqing Municipal Education Commission(Grant No. KJQN201800720);Natural Science Foundation of Chongqing (Grant No. cstc2019jcyjmsxm X0222);Fundamental Research Funds for the Central Universities (Grant Nos.JZ2019HGTB0090, JZ2019HGTB0073);Opening Foundation of the State Key Laboratory of Traction Power (Grant No.TPL1908)。

摘　　要：Dear editor, Due to the high load and continuous work, some equipment such as sensors and actuators in the system will inevitably degrade as the aging time increases. Also, they may evolve into faults causing the decline of system control performance. However, the stability of the system cannot be guaranteed due to the large loss of property and casualties caused by faults. Therefore, fault diagnosis and faulttolerant control [1, 2] are widely applied in the industrial system to solve these problems.

关 键 词：system estimation ITERATIVE 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]