Composite learning adaptive backstepping control using neural networks with compact supports
The ability to learn is crucial for neural network (NN) control as it is able to enhance the overall stability and robustness of control systems. In this study, a composite learning control strategy is proposed for a class of strict-feedback nonlinear systems with mismatched uncertainties, where rai...
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Main Authors: | Pan, Yongping, Yang, Chenguang, Pratama, Mahardhika, Yu, Haoyong |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/151299 |
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Institution: | Nanyang Technological University |
Language: | English |
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