Adaptive Neural Network-Based Filter Design for Nonlinear Systems with Multiple Constraints

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Shen, Q ORCID: 0000-0002-1749-2641, Shi, Peng ORCID: 0000-0001-8218-586X, Agarwal, RK ORCID: 0000-0002-9642-1023 and Shi, Y (2021) Adaptive Neural Network-Based Filter Design for Nonlinear Systems with Multiple Constraints. IEEE Transactions on Neural Networks and Learning Systems, 32 (7). pp. 3256-3261. ISSN 2162-237X

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/44707
DOI https://doi.org/10.1109/TNNLS.2020.3009391
Official URL https://ieeexplore.ieee.org/document/9151329
Subjects Current > FOR (2020) Classification > 4007 Control engineering, mechatronics and robotics
Current > FOR (2020) Classification > 4611 Machine learning
Current > Division/Research > College of Science and Engineering
Keywords fault estimation; actuator faults; sensor faults; time delay; neural networks; adaptive control; adaptive filter
Citations in Scopus 32 - View on Scopus
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