Adaptive neural networks control for MIMO nonlinear systems with unmeasured states and unmodeled dynamics

Applied Mathematics and Computation ◽

10.1016/j.amc.2021.126369 ◽

2021 ◽

Vol 408 ◽

pp. 126369

Author(s):

Sanxia Wang ◽

Jianwei Xia ◽

Xueliang Wang ◽

Wenjing Yang ◽

Linqi Wang

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Unmodeled Dynamics ◽

Mimo Nonlinear Systems ◽

Adaptive Neural Networks

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Event-triggered adaptive neural networks control for fractional-order nonstrict-feedback nonlinear systems with unmodeled dynamics and input saturation

Neural Networks ◽

10.1016/j.neunet.2021.05.014 ◽

2021 ◽

Author(s):

Boqiang Cao ◽

Xiaobing Nie

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Fractional Order ◽

Input Saturation ◽

Unmodeled Dynamics ◽

Adaptive Neural Networks ◽

Event Triggered

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Adaptive Neural Networks Control for Markov Jump Nonlinear Systems with Nonstrict-Feedback Form and Uncertain Transition Rate

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189547 ◽

2020 ◽

Author(s):

Boqiang Cao ◽

Xiaobing Nie

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Transition Rate ◽

Markov Jump ◽

Feedback Form ◽

Adaptive Neural Networks

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Direct Adaptive Control for a Class of MIMO Nonlinear Systems Using Neural Networks

IEEE Transactions on Automatic Control ◽

10.1109/tac.2004.837561 ◽

2004 ◽

Vol 49 (11) ◽

pp. 2001-2006 ◽

Author(s):

S.S. Ge ◽

G.Y. Li ◽

J. Zhang ◽

T.H. Lee

Keyword(s):

Neural Networks ◽

Adaptive Control ◽

Nonlinear Systems ◽

Mimo Nonlinear Systems ◽

Direct Adaptive Control

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A class of non-affine nonlinear systems adaptive neural networks backstepping control with pure-feedback prototype

2015 34th Chinese Control Conference (CCC) ◽

10.1109/chicc.2015.7259797 ◽

2015 ◽

Author(s):

Li Yang ◽

Zhang Jianhua ◽

Wu Xueli

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Backstepping Control ◽

Adaptive Neural Networks ◽

Affine Nonlinear Systems

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Indirect adaptive neural networks control for a class of nonlinear systems

Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) ◽

10.1109/wcica.2002.1022231 ◽

2003 ◽

Author(s):

Yuequan Yang ◽

Tianping Zhang ◽

Xuelong Hu

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Adaptive Neural Networks

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A new approach to design robust backstepping controller for MIMO nonlinear systems with input unmodeled dynamics

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference ◽

10.1109/cdc.2009.5400937 ◽

2009 ◽

Author(s):

Wei Wang ◽

Changyun Wen

Keyword(s):

Nonlinear Systems ◽

Unmodeled Dynamics ◽

New Approach ◽

Mimo Nonlinear Systems ◽

Backstepping Controller

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Intelligent control using θ-adaptive neural networks: a new approach to identification and control of nonlinear systems

Proceedings of 1995 American Control Conference - ACC'95 ◽

10.1109/acc.1995.520969 ◽

2005 ◽

Author(s):

A.M. Annaswamy ◽

S. Yu

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Intelligent Control ◽

New Approach ◽

Adaptive Neural Networks ◽

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Event-triggered sliding mode control with adaptive neural networks for uncertain nonlinear systems

Neurocomputing ◽

10.1016/j.neucom.2021.01.055 ◽

2021 ◽

Vol 436 ◽

pp. 184-197

Author(s):

Nana Wang ◽

Fei Hao

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Sliding Mode Control ◽

Sliding Mode ◽

Uncertain Nonlinear Systems ◽

Mode Control ◽

Adaptive Neural Networks ◽

Event Triggered

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Adaptive Neural Networks Prescribed Performance Control Design for Switched Interconnected Uncertain Nonlinear Systems

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2017.2712698 ◽

2017 ◽

pp. 1-10 ◽

Author(s):

Yongming Li ◽

Shaocheng Tong

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Control Design ◽

Uncertain Nonlinear Systems ◽

Performance Control ◽

Prescribed Performance ◽

Prescribed Performance Control ◽

Adaptive Neural Networks

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Adaptive finite-time tracking control for nonlinear systems with unmodeled dynamics using neural networks

Advances in Difference Equations ◽

10.1186/s13662-018-1615-x ◽

2018 ◽

Vol 2018 (1) ◽

Author(s):

Wenshun Lv ◽

Fang Wang ◽

Yan Li

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Finite Time ◽

Tracking Control ◽

Unmodeled Dynamics

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