Adaptive single neural network control for a class of uncertain discrete-time nonlinear strict-feedback systems with input saturation
DOI10.1007/S11071-015-2296-6zbMath1348.93177OpenAlexW1021592928MaRDI QIDQ330995
Zhengjiang Liu, Xin Wang, Yao Cai
Publication date: 26 October 2016
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-015-2296-6
adaptive controldiscrete-time systemsbackstepping designinput saturation constraintsminimal learning parametersingle neural network
Feedback control (93B52) Neural networks for/in biological studies, artificial life and related topics (92B20) Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55)
Related Items (4)
Cites Work
- Adaptive fuzzy output-feedback control for output constrained nonlinear systems in the presence of input saturation
- Single neural network approximation based adaptive control for a class of uncertain strict-feedback nonlinear systems
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