A robust quantized consensus protocol for discrete-time multi-agent systems with additive noise

ISA Transactions ◽

10.1016/j.isatra.2018.11.006 ◽

2019 ◽

Vol 86 ◽

pp. 29-38 ◽

Author(s):

Jiayu Chen ◽

Qiang Ling

Keyword(s):

Discrete Time ◽

Additive Noise ◽

Multi Agent Systems ◽

Consensus Protocol ◽

Agent Systems ◽

Multi Agent ◽

Quantized Consensus

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A simple observer-based consensus protocol for discrete-time multi-agent systems

Electronics, Communications and Networks IV ◽

10.1201/b18592-166 ◽

2015 ◽

pp. 911-914

Author(s):

Changbin Li ◽

Chunyan Du ◽

Yi He

Keyword(s):

Discrete Time ◽

Multi Agent Systems ◽

Consensus Protocol ◽

Agent Systems ◽

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Quantized consensus for linear discrete-time multi-agent systems

2012 12th International Conference on Control Automation Robotics & Vision (ICARCV) ◽

10.1109/icarcv.2012.6485363 ◽

2012 ◽

Author(s):

Li Zhenxing ◽

Ji Haibo

Keyword(s):

Discrete Time ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Quantized Consensus

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An Eigenvector-Centrality Based Consensus Protocol Design for Discrete-Time Multi-agent Systems with Communication Delays

Recent Advances in Control Problems of Dynamical Systems and Networks - Studies in Systems, Decision and Control ◽

10.1007/978-3-030-49123-9_3 ◽

2020 ◽

pp. 61-81

Author(s):

M. J. Park ◽

S. H. Lee ◽

O. M. Kwon

Keyword(s):

Discrete Time ◽

Protocol Design ◽

Communication Delays ◽

Multi Agent Systems ◽

Eigenvector Centrality ◽

Consensus Protocol ◽

Agent Systems ◽

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On Leader-Following Consensus Protocol for Positive Discrete-Time Multi-Agent Systems

2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR) ◽

10.1109/mmar.2018.8486103 ◽

2018 ◽

Author(s):

Ewa Girejko ◽

Agnieszka B. Malinowska

Keyword(s):

Discrete Time ◽

Multi Agent Systems ◽

Consensus Protocol ◽

Agent Systems ◽

Leader Following ◽

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Distributed observer-based quantized consensus control for discrete-time linear multi-agent systems

2017 36th Chinese Control Conference (CCC) ◽

10.23919/chicc.2017.8028669 ◽

2017 ◽

Author(s):

Shunduo Wang ◽

Lina Rong

Keyword(s):

Discrete Time ◽

Multi Agent Systems ◽

Consensus Control ◽

Agent Systems ◽

Multi Agent ◽

Quantized Consensus ◽

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Quantized consensus criterion for discrete-time multi-agent systems with communication delay

2013 13th International Conference on Control, Automation and Systems (ICCAS 2013) ◽

10.1109/iccas.2013.6704198 ◽

2013 ◽

Author(s):

Myeongjin Park ◽

Kihoon Kim ◽

Ohmin Kwon

Keyword(s):

Discrete Time ◽

Communication Delay ◽

Multi Agent Systems ◽

Consensus Criterion ◽

Agent Systems ◽

Multi Agent ◽

Quantized Consensus

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Quantized Consensus of Multi-agent Systems with Additive Noise

Intelligent Robotics and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-43506-0_43 ◽

2016 ◽

pp. 485-497 ◽

Author(s):

Jiayu Chen ◽

Qiang Ling

Keyword(s):

Additive Noise ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Quantized Consensus

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Robust discrete-time non-smooth consensus protocol for multi-agent systems via super-twisting algorithm

Applied Mathematics and Computation ◽

10.1016/j.amc.2021.126636 ◽

2022 ◽

Vol 413 ◽

pp. 126636

Author(s):

Weijian Zhang ◽

Haibo Du ◽

Zhaobi Chu

Keyword(s):

Discrete Time ◽

Multi Agent Systems ◽

Consensus Protocol ◽

Agent Systems ◽

Multi Agent ◽

Twisting Algorithm

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An Overview on Quantized Consensus and Consensus with Limited Data Rate of Multi-agent Systems

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2013.01805 ◽

2013 ◽

Vol 39 (11) ◽

pp. 1805 ◽

Author(s):

Tao LI ◽

Yang MENG ◽

Ji-Feng ZHANG

Keyword(s):

Data Rate ◽

Multi Agent Systems ◽

Limited Data ◽

Agent Systems ◽

Multi Agent ◽

Quantized Consensus

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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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