State and fault estimation for nonlinear recurrent neural network systems: Experimental testing on a three‐tank system
Author:
Affiliation:
1. College of Electrical Engineering and AutomationShandong University of Science and Technology Qingdao China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
General Chemical Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjce.23714
Reference40 articles.
1. A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
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