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