Adaptive NN Control for Nonlinear Multi-Agent Systems with Unknown Control Direction and Full State Constraints

IEEE Access ◽

10.1109/access.2020.3048178 ◽

2020 ◽

pp. 1-1

Author(s):

Fengyi Yuan ◽

Jie Lan ◽

Yanjun Liu ◽

Lei Liu

Keyword(s):

State Constraints ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Unknown Control ◽

Unknown Control Direction ◽

Control Direction ◽

Full State Constraints

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Adaptive Practical Fast Finite-time Consensus Protocols for High-order Nonlinear Multi-agent Systems with Full State Constraints

IEEE Access ◽

10.1109/access.2021.3085843 ◽

2021 ◽

pp. 1-1

Author(s):

Lin Shang ◽

Mingjie Cai

Keyword(s):

Finite Time ◽

State Constraints ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Full State Constraints

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Distributed Finite-Time Tracking Control of Non-affine Pure-Feedback Multi-agent Systems with Full State Constraints

2020 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc49329.2020.9163945 ◽

2020 ◽

Author(s):

Qiutong Ji ◽

Gang Chen ◽

Qiurui He

Keyword(s):

Finite Time ◽

Tracking Control ◽

State Constraints ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Full State Constraints

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Neural Network-Based Distributed Finite-Time Tracking Control of Uncertain Multi-Agent Systems With Full State Constraints

IEEE Access ◽

10.1109/access.2020.3025966 ◽

2020 ◽

Vol 8 ◽

pp. 174365-174374

Author(s):

Qiutong Ji ◽

Gang Chen ◽

Qiurui He

Keyword(s):

Neural Network ◽

Finite Time ◽

Tracking Control ◽

State Constraints ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Full State Constraints

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Adaptive Fuzzy Command Filtering Control for Nonlinear MIMO Systems With Full State Constraints and Unknown Control Direction

Neurocomputing ◽

10.1016/j.neucom.2021.12.091 ◽

2022 ◽

Author(s):

Yuhao Zhou ◽

Xin Wang

Keyword(s):

State Constraints ◽

Mimo Systems ◽

Adaptive Fuzzy ◽

Unknown Control ◽

Unknown Control Direction ◽

Control Direction ◽

Full State Constraints

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Output feedback consensus control of high-order nonlinear multi-agent systems with full state constraints

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8865422 ◽

2019 ◽

Author(s):

Jiaxing Song ◽

Kuo Li ◽

Changchun Hua

Keyword(s):

Output Feedback ◽

State Constraints ◽

Multi Agent Systems ◽

Consensus Control ◽

Agent Systems ◽

Multi Agent ◽

Full State Constraints

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Cooperative Global Output Regulation of Second-Order Nonlinear Multi-Agent Systems With Unknown Control Direction

IEEE Transactions on Automatic Control ◽

10.1109/tac.2015.2426273 ◽

2015 ◽

Vol 60 (12) ◽

pp. 3275-3280 ◽

Author(s):

Youfeng Su

Keyword(s):

Output Regulation ◽

Second Order ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Unknown Control ◽

Unknown Control Direction ◽

Control Direction

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Practical fixed-time adaptive consensus control for a class of multi-agent systems with full state constraints and input delay

Neurocomputing ◽

10.1016/j.neucom.2021.03.032 ◽

2021 ◽

Author(s):

Dajie Yao ◽

Chunxia Dou ◽

Nan Zhao ◽

Tingjun Zhang

Keyword(s):

State Constraints ◽

Input Delay ◽

Multi Agent Systems ◽

Consensus Control ◽

Agent Systems ◽

Multi Agent ◽

Full State Constraints

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Adaptive iterative learning protocol design for nonlinear multi-agent systems with unknown control direction

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2018.04.012 ◽

2018 ◽

Vol 355 (10) ◽

pp. 4298-4314 ◽

Author(s):

Jinsha Li ◽

Sanyang Liu ◽

Junmin Li

Keyword(s):

Iterative Learning ◽

Protocol Design ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Unknown Control ◽

Unknown Control Direction ◽

Control Direction

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Adaptive Neural Consensus Tracking for Second-Order Nonlinear Multi-agent Systems with Full-State Constraints

Lecture Notes in Electrical Engineering - Proceedings of 2020 Chinese Intelligent Systems Conference ◽

10.1007/978-981-15-8450-3_30 ◽

2020 ◽

pp. 278-286

Author(s):

Dan Liu ◽

Lin Zhao

Keyword(s):

State Constraints ◽

Second Order ◽

Multi Agent Systems ◽

Agent Systems ◽

Consensus Tracking ◽

Multi Agent ◽

Full State Constraints

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Command filtered neural control of multi-agent systems with input quantization and unknown control direction

Neurocomputing ◽

10.1016/j.neucom.2020.12.031 ◽

2021 ◽

Vol 430 ◽

pp. 47-57

Author(s):

Zhuangbi Lin ◽

Zhi Liu ◽

Yun Zhang ◽

C.L.Philip Chen

Keyword(s):

Neural Control ◽

Multi Agent Systems ◽

Input Quantization ◽

Agent Systems ◽

Multi Agent ◽

Unknown Control ◽

Unknown Control Direction ◽

Control Direction

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