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Neural-network control of nonaffine nonlinear system with zero dynamics by state and output feedback
Abstract
This paper focuses on adaptive control of nonaffine nonlinear systems with zero dynamics using multilayer neural networks. Through neural network approximation, state feedback control is firstly investigated for nonaffine single-input-single-output (SISO) systems. By using a high gain observer to reconstruct the system states, an extension is made to output feedback neural-network control of nonaffine systems, whose states and time derivatives of the output are unavailable. It is shown that output tracking errors converge to adjustable neighborhoods of the origin for both state feedback and output feedback control.
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Citations
Cited by
Adaptive cooperative tracking control of higher-order nonlinear systems with unknown dynamics
Zhang, H., & Lewis, F. L. (2012) · Automatica · doi:10.1016/j.automatica.2012.05.008 · Cited by 1,042
Chen, M., Ge, S. S., & How, B. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2042611 · Cited by 732
Self-citationChen, M., & Ge, S. S. (2013) · IEEE Transactions on Cybernetics · doi:10.1109/tsmcb.2012.2226577 · Cited by 395
Self-citationControl of fully actuated ocean surface vessels using a class of feedforward approximators
Tee, K. P., & Ge, S. S. (2006) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2006.872507 · Cited by 337
Self-citationRobust Adaptive Position Mooring Control for Marine Vessels
Chen, M., Ge, S. S., How, B. V. E., & Choo, Y. S. (2013) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2012.2183676 · Cited by 263
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Metadata
- Authors
- Ge, S. S., & Zhang, J.
- Venue
- IEEE Transactions on Neural Networks
- Published
- 2003-07
- Volume
- 14
- Issue
- 4
- Pages
- 900-918
- ISSN
- 1045-9227 (ISSN-L)
- OpenAlex
- W2155941926
- Cited by
- 312
- References
- 0
- FWCI
- 11.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ge, S. S., & Zhang, J. (2003). Neural-network control of nonaffine nonlinear system with zero dynamics by state and output feedback. IEEE Transactions on Neural Networks. https://doi.org/10.1109/tnn.2003.813823
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