Nussbaum gain adaptive neural asymptotic tracking of nonlinear systems with full-state constraints

International Journal of Systems Science ◽

10.1080/00207721.2021.1998720 ◽

2021 ◽

pp. 1-14

Author(s):

Jin-Zi Yang ◽

Yuan-Xin Li

Keyword(s):

Nonlinear Systems ◽

State Constraints ◽

Asymptotic Tracking ◽

Full State Constraints

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Asymptotic tracking control for time-delay nonlinear systems with parametric uncertainties and full state constraints

ISA Transactions ◽

10.1016/j.isatra.2019.08.038 ◽

2020 ◽

Vol 98 ◽

pp. 101-109 ◽

Author(s):

Chun-Xiao Wang ◽

Yu-Qiang Wu ◽

Yan Zhao ◽

Jia-Li Yu

Keyword(s):

Nonlinear Systems ◽

Tracking Control ◽

State Constraints ◽

Parametric Uncertainties ◽

Asymptotic Tracking ◽

Full State Constraints

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Neural-networks-based adaptive asymptotic tracking control of MIMO stochastic non-strict-feedback nonlinear systems with full state constraints and unknown control gains

Neurocomputing ◽

10.1016/j.neucom.2021.12.103 ◽

2022 ◽

Author(s):

Wei Su ◽

Xudong Zhao ◽

Ben Niu ◽

Guangju Zhang ◽

Huanqing Wang

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Tracking Control ◽

State Constraints ◽

Asymptotic Tracking ◽

Unknown Control ◽

Full State Constraints ◽

Strict Feedback

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Asymptotic tracking control for uncertain strict‐feedback nonlinear systems with delayed full‐state constraints

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.5227 ◽

2020 ◽

Vol 30 (18) ◽

pp. 8174-8191

Author(s):

Yajun Li ◽

Shuai Liang ◽

Mingshan Hou

Keyword(s):

Nonlinear Systems ◽

Tracking Control ◽

State Constraints ◽

Asymptotic Tracking ◽

Full State Constraints ◽

Strict Feedback

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Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control for Nonlinear Systems With Full-State Constraints and Application to a Single-Link Robot

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3082994 ◽

2021 ◽

pp. 1-11

Author(s):

Jiaming Zhang ◽

Ben Niu ◽

Ding Wang ◽

Huanqing Wang ◽

Ping Zhao ◽

...

Keyword(s):

Nonlinear Systems ◽

Tracking Control ◽

State Constraints ◽

Single Link ◽

Asymptotic Tracking ◽

Full State Constraints ◽

Event Triggered

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Adaptive neural network asymptotic tracking control for a class of stochastic nonlinear systems with unknown control gains and full state constraints

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.3304 ◽

2021 ◽

Author(s):

Wei Su ◽

Ben Niu ◽

Huanqing Wang ◽

Wenhai Qi

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Tracking Control ◽

State Constraints ◽

Stochastic Nonlinear Systems ◽

Adaptive Neural Network ◽

Asymptotic Tracking ◽

Unknown Control ◽

Full State Constraints

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Adaptive control of a class of stochastic nonlinear systems with full state constraints and input saturation using multi‐dimensional Taylor network

Asian Journal of Control ◽

10.1002/asjc.2551 ◽

2021 ◽

Author(s):

Yu‐Qun Han

Keyword(s):

Adaptive Control ◽

Nonlinear Systems ◽

State Constraints ◽

Input Saturation ◽

Stochastic Nonlinear Systems ◽

Full State Constraints

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Adaptive fuzzy control for nonstrict-feedback stochastic nonlinear systems with full-state constraints and unknown dead zone

2017 4th International Conference on Information, Cybernetics and Computational Social Systems (ICCSS) ◽

10.1109/iccss.2017.8091377 ◽

2017 ◽

Author(s):

Lu Bai ◽

Hongyi Li ◽

Hongjing Liang ◽

Qi Zhou ◽

Lijie Wang

Keyword(s):

Nonlinear Systems ◽

Fuzzy Control ◽

State Constraints ◽

Dead Zone ◽

Adaptive Fuzzy Control ◽

Stochastic Nonlinear Systems ◽

Adaptive Fuzzy ◽

Full State Constraints

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Finite‐time adaptive tracking control for a class of nonstrict feedback nonlinear systems with full state constraints

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.5777 ◽

2021 ◽

Author(s):

Yudi Wang ◽

Guangdeng Zong ◽

Dong Yang ◽

Kaibo Shi

Keyword(s):

Nonlinear Systems ◽

Finite Time ◽

Tracking Control ◽

State Constraints ◽

Adaptive Tracking Control ◽

Adaptive Tracking ◽

Full State Constraints

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Adaptive neural network finite-time tracking quantized control for uncertain nonlinear systems with full-state constraints and applications to QUAVs

Neurocomputing ◽

10.1016/j.neucom.2020.12.078 ◽

2021 ◽

Vol 440 ◽

pp. 264-274

Author(s):

Changchun Hua ◽

Anqi Jiang ◽

Kuo Li

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Finite Time ◽

State Constraints ◽

Uncertain Nonlinear Systems ◽

Adaptive Neural Network ◽

Quantized Control ◽

Full State Constraints

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Guaranteeing Predefined Full State Constraints for Non-Affine Nonlinear Systems Using Neural Networks

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-70136-3_40 ◽

2017 ◽

pp. 376-383

Author(s):

Min Wang ◽

Yanwen Zhang

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

State Constraints ◽

Affine Nonlinear Systems ◽

Full State Constraints

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