Neural network-based adaptive output feedback formation control for multi-agent systems

Nonlinear Dynamics ◽

10.1007/s11071-012-0533-9 ◽

2012 ◽

Vol 70 (2) ◽

pp. 1283-1296 ◽

Author(s):

An-Min Zou ◽

Krishna Dev Kumar

Keyword(s):

Neural Network ◽

Output Feedback ◽

Formation Control ◽

Multi Agent Systems ◽

Agent Systems ◽

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Cooperative learning neural network output feedback control of uncertain nonlinear multi-agent systems under directed topologies

International Journal of Systems Science ◽

10.1080/00207721.2017.1324923 ◽

2017 ◽

Vol 48 (12) ◽

pp. 2590-2598 ◽

Author(s):

W. Wang ◽

D. Wang ◽

Z. H. Peng

Keyword(s):

Neural Network ◽

Feedback Control ◽

Cooperative Learning ◽

Output Feedback ◽

Output Feedback Control ◽

Multi Agent Systems ◽

Agent Systems ◽

Network Output ◽

Multi Agent ◽

Directed Topologies

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Output Feedback Based Formation Control of Multi-agent Systems

2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) ◽

10.1109/ihmsc.2016.244 ◽

2016 ◽

Author(s):

Shaolei Zhou ◽

Yahui Qi ◽

Yuhang Kang ◽

Shi Yan

Keyword(s):

Output Feedback ◽

Formation Control ◽

Multi Agent Systems ◽

Agent Systems ◽

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Neural network adaptive dynamic sliding mode formation control of multi-agent systems

International Journal of Systems Science ◽

10.1080/00207721.2020.1783385 ◽

2020 ◽

Vol 51 (11) ◽

pp. 2025-2040

Author(s):

Yang Fei ◽

Peng Shi ◽

Cheng-Chew Lim

Keyword(s):

Neural Network ◽

Formation Control ◽

Sliding Mode ◽

Multi Agent Systems ◽

Agent Systems ◽

Adaptive Dynamic ◽

Multi Agent ◽

Dynamic Sliding Mode ◽

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Formation control of multi-agent systems with double integrator dynamics using delayed static output feedback

IEEE Conference on Decision and Control and European Control Conference ◽

10.1109/cdc.2011.6161074 ◽

2011 ◽

Author(s):

Paresh Deshpande ◽

Prathyush P Menon ◽

Christopher Edwards ◽

Ian Postlethwaite

Keyword(s):

Output Feedback ◽

Formation Control ◽

Static Output Feedback ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Static Output ◽

Double Integrator

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Adaptive Neural Network Leader-Follower Formation Control for a Class of Second-Order Nonlinear Multi-Agent Systems With Unknown Dynamics

IEEE Access ◽

10.1109/access.2020.3015957 ◽

2020 ◽

Vol 8 ◽

pp. 148149-148156

Author(s):

Guoxing Wen ◽

Chenyang Zhang ◽

Ping Hu ◽

Yang Cui

Keyword(s):

Neural Network ◽

Formation Control ◽

Second Order ◽

Multi Agent Systems ◽

Adaptive Neural Network ◽

Agent Systems ◽

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Neural Network-Based Formation Control With Target Tracking for Second-Order Nonlinear Multi-Agent Systems

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2021.3111719 ◽

2021 ◽

pp. 1-1

Author(s):

Kiarash Aryankia ◽

Rastko R. Selmic

Keyword(s):

Neural Network ◽

Target Tracking ◽

Formation Control ◽

Second Order ◽

Multi Agent Systems ◽

Agent Systems ◽

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Neural-network-based formation control with collision, obstacle avoidance and connectivity maintenance for a class of second-order nonlinear multi-agent systems

Neurocomputing ◽

10.1016/j.neucom.2020.12.106 ◽

2021 ◽

Vol 439 ◽

pp. 243-255

Author(s):

Shun Yang ◽

Weiwei Bai ◽

Tieshan Li ◽

Quan Shi ◽

Yue Yang ◽

...

Keyword(s):

Neural Network ◽

Obstacle Avoidance ◽

Formation Control ◽

Second Order ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Connectivity Maintenance

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Leader-Following Consensus for Double-Integrator Multi-Agent Systems via Sampled Output Feedback

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9188838 ◽

2020 ◽

Author(s):

Ying Zhang ◽

Youfeng Su

Keyword(s):

Output Feedback ◽

Multi Agent Systems ◽

Agent Systems ◽

Leader Following ◽

Multi Agent ◽

Double Integrator

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Robust $H_{\infty}$ Formation Control for Multi-agent Systems with Time-varying Delays

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8483658 ◽

2018 ◽

Author(s):

Wenyu Lian ◽

Jia Liu ◽

Yunxi Zhang ◽

Weixun Li

Keyword(s):

Formation Control ◽

Time Varying ◽

Multi Agent Systems ◽

Agent Systems ◽

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Output feedback reinforcement learning based optimal output synchronisation of heterogeneous discrete-time multi-agent systems

IET Control Theory and Applications ◽

10.1049/iet-cta.2018.6266 ◽

2019 ◽

Vol 13 (17) ◽

pp. 2866-2876

Author(s):

Syed Ali Asad Rizvi ◽

Zongli Lin

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Output Feedback ◽

Multi Agent Systems ◽

Agent Systems ◽

Optimal Output ◽

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