Iterative Learning Fault Estimation Design for Nonlinear System with Random Trial Length

An iterative learning scheme-based fault estimation observer is designed for a class of nonlinear systems with randomly changed trial length. This is achieved by presenting a state observer for monitoring the system state and an iterative learning law for fault estimation in the presence of imprecis...

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Bibliographic Details
Main Authors: Li Feng, Ke Zhang, Yi Chai, Shuiqing Xu, Zhimin Yang
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2017/1850737
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