物理学报Issue(18)：1-8,8.DOI:10.7498/aps.63.180202
基于迭代学习的离散切换系统故障估计
Fault estimation for discrete switched system based on iterative learning
摘要
Abstract
Aiming at the problem of fault estimation in a class of time-varying discrete switched system with arbitrary sequence, in this paper we propose a novel fault estimation algorithm. The algorithm uses the introduced virtual fault signal to construct fault estimator, and uses the residual signal to modify the introduced virtual fault step by step through using the iterative learning method and making the virtual fault gradually approach to the actual fault by increasing the iterative number. The convergence of the algorithm in each subinterval is strictly proven by the use of contraction mapping method, and the convergent condition of the algorithm is provided. Theoretical analyses indicate that the proposed algorithm can estimate different types of faults occurring in a switched system accurately in a finite interval. Finally, the validity of the algorithm is verified by simulations.关键词
离散切换系统/迭代学习/故障估计/任意切换率Key words
discrete-time switched systems/iterative learning/fault estimation/arbitrary switched rules引用本文复制引用
曹伟,郭媛,孙明..基于迭代学习的离散切换系统故障估计[J].物理学报,2014,(18):1-8,8.基金项目
国家自然科学基金青年科学基金(批准号:61100103)资助的课题.* Project supported by the Young Scientists Fund of the National Natural Science Foundation of China (Grant No.61100103) （批准号:61100103）
