Approximation-based adaptive control of uncertain non-linear pure-feedback systems with full state constraints

IET Control Theory and Applications ◽

10.1049/iet-cta.2014.0254 ◽

2014 ◽

Vol 8 (17) ◽

pp. 2070-2081 ◽

Author(s):

Bong Su Kim ◽

Sung Jin Yoo

Keyword(s):

Adaptive Control ◽

State Constraints ◽

Feedback Systems ◽

Full State Constraints

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Full state constraints-based adaptive control for switched nonlinear pure-feedback systems

International Journal of Systems Science ◽

10.1080/00207721.2018.1533050 ◽

2018 ◽

Vol 49 (15) ◽

pp. 3094-3107 ◽

Author(s):

Yanan Bian ◽

Yuhao Chen ◽

Lijun Long

Keyword(s):

Adaptive Control ◽

State Constraints ◽

Feedback Systems ◽

Full State Constraints

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Fuzzy adaptive control for a class of uncertain nonlinear pure-feedback systems with full state constraints

2018 Chinese Automation Congress (CAC) ◽

10.1109/cac.2018.8623628 ◽

2018 ◽

Author(s):

Wei Liu ◽

Jianrong Zhao

Keyword(s):

Adaptive Control ◽

State Constraints ◽

Feedback Systems ◽

Fuzzy Adaptive Control ◽

Full State Constraints ◽

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Neuro-Adaptive Control With Given Performance Specifications for Strict Feedback Systems Under Full-State Constraints

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2018.2821668 ◽

2019 ◽

Vol 30 (1) ◽

pp. 25-34 ◽

Author(s):

Xiucai Huang ◽

Yongduan Song ◽

Junfeng Lai

Keyword(s):

Adaptive Control ◽

State Constraints ◽

Feedback Systems ◽

Performance Specifications ◽

Full State Constraints ◽

Strict Feedback

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Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints

10.1016/j.automatica.2015.10.034 ◽

2016 ◽

Vol 64 ◽

pp. 70-75 ◽

Author(s):

Yan-Jun Liu ◽

Shaocheng Tong

Keyword(s):

Adaptive Control ◽

Lyapunov Functions ◽

State Constraints ◽

Feedback Systems ◽

Barrier Lyapunov Functions ◽

Full State Constraints

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Barrier Lyapunov functions-based adaptive control for nonlinear pure-feedback systems with time-varying full state constraints

International Journal of Control Automation and Systems ◽

10.1007/s12555-016-0321-2 ◽

2017 ◽

Vol 15 (6) ◽

pp. 2714-2722 ◽

Author(s):

Chunxiao Wang ◽

Yuqiang Wu ◽

Jiangbo Yu

Keyword(s):

Adaptive Control ◽

Lyapunov Functions ◽

State Constraints ◽

Time Varying ◽

Feedback Systems ◽

Barrier Lyapunov Functions ◽

Full State Constraints

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Prescribed performance-barrier Lyapunov function for the adaptive control of unknown pure-feedback systems with full-state constraints

Nonlinear Dynamics ◽

10.1007/s11071-018-4704-1 ◽

2018 ◽

Vol 95 (3) ◽

pp. 2443-2459 ◽

Author(s):

Longsheng Chen ◽

Qi Wang

Keyword(s):

Adaptive Control ◽

Lyapunov Function ◽

State Constraints ◽

Feedback Systems ◽

Prescribed Performance ◽

Barrier Lyapunov Function ◽

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 output feedback control for a class of nonlinear pure-feedback systems with full state constraints

2017 36th Chinese Control Conference (CCC) ◽

10.23919/chicc.2017.8027453 ◽

2017 ◽

Author(s):

Jiale Yi ◽

Jing Li ◽

Junmin Li ◽

Jian Wu

Keyword(s):

Feedback Control ◽

Output Feedback ◽

State Constraints ◽

Output Feedback Control ◽

Feedback Systems ◽

Adaptive Fuzzy ◽

Full State Constraints

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Adaptive Neural Control of Nonlinear Nonstrict Feedback Systems With Full-State Constraints: A Novel Nonlinear Mapping Method

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3104877 ◽

2021 ◽

pp. 1-9

Author(s):

Jiaming Zhang ◽

Ben Niu ◽

Ding Wang ◽

Huanqing Wang ◽

Peiyong Duan ◽

...

Keyword(s):

Neural Control ◽

State Constraints ◽

Mapping Method ◽

Nonlinear Mapping ◽

Feedback Systems ◽

Adaptive Neural Control ◽

Full State Constraints

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Neural-Network-Based Adaptive Control of Uncertain MIMO Singularly Perturbed Systems With Full-State Constraints

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3123361 ◽

2021 ◽

pp. 1-11

Author(s):

Hao Wang ◽

Chunyu Yang ◽

Xiaomin Liu ◽

Linna Zhou

Keyword(s):

Neural Network ◽

Adaptive Control ◽

State Constraints ◽

Singularly Perturbed ◽

Singularly Perturbed Systems ◽

Perturbed Systems ◽

Full State Constraints

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