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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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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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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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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Adaptive neural network tracking control of multi-agent systems with state constraints

2017 Chinese Automation Congress (CAC) ◽

10.1109/cac.2017.8242763 ◽

2017 ◽

Author(s):

Dongyu Li ◽

Guangfu Ma ◽

Chuangjiang Li ◽

Wei Zhang ◽

Wei He

Keyword(s):

Neural Network ◽

Tracking Control ◽

State Constraints ◽

Multi Agent Systems ◽

Adaptive Neural Network ◽

Agent Systems ◽

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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 neural network finite-time tracking control for a class of high-order nonlinear multi-agent systems with powers of positive odd rational numbers and prescribed performance

Neurocomputing ◽

10.1016/j.neucom.2020.08.051 ◽

2021 ◽

Vol 419 ◽

pp. 157-167

Author(s):

Jiehan Liu ◽

Chaoli Wang ◽

Xuan Cai

Keyword(s):

Neural Network ◽

Finite Time ◽

Tracking Control ◽

Rational Numbers ◽

Multi Agent Systems ◽

Adaptive Neural Network ◽

Prescribed Performance ◽

Agent Systems ◽

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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 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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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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