Direct adaptive control for a class of discrete‐time unknown nonaffine nonlinear systems using neural networks

DOI10.1002/rnc.3181zbMath1326.93072OpenAlexW1560580936MaRDI QIDQ3457586

Derong Liu, Qinglai Wei, Xiong Yang, Ding Wang

Publication date: 15 December 2015

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.3181

zbMATH Keywords

adaptive controlonline learningLyapunov methodfeedback controldiscrete-timeMIMOnonaffine systemneural network (NN)

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55)

Related Items (4)

Efficient model-based reinforcement learning for approximate online optimal control ⋮ Neural optimal tracking control of constrained nonaffine systems with a wastewater treatment application ⋮ Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties ⋮ Adaptive near-optimal neuro controller for continuous-time nonaffine nonlinear systems with constrained input

Cites Work

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• Robust adaptive neural network control for environmental boundary tracking by mobile robots
• Adaptive neural tracking control for a class of stochastic nonlinear systems
• Discrete-time neural net controller for a class of nonlinear dynamical systems

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