Stochastic Approximation Approach for Consensus and Convergence Rate Analysis of Multiagent Systems

DOI10.1109/TAC.2012.2199175zbMath1369.93058OpenAlexW2023196389MaRDI QIDQ5353047

Juanjuan Xu, Xie, Lihua, Huan-Shui Zhang

Publication date: 8 September 2017

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tac.2012.2199175

Mathematics Subject Classification ID

Discrete-time control/observation systems (93C55) Hierarchical systems (93A13) Cryptography (94A60) Decentralized systems (93A14) Stochastic approximation (62L20) Stochastic stability in control theory (93E15)

Related Items (10)

Stochastic Approximation Based Consensus Dynamics over Markovian Networks ⋮ Consensusability of linear multi‐agent systems with time delay ⋮ The design of distributed suboptimal controller for multi-agent systems ⋮ Time Averaging Algorithms with Stopping Rules for Multi-Agent Consensus with Noisy Measurements ⋮ Consensus Conditions of Continuous-Time Multi-Agent Systems with Additive and Multiplicative Measurement Noises ⋮ Exact consensus error for multi-agent systems with additive noises ⋮ Consensus conditions of continuous-time multi-agent systems with time-delays and measurement noises ⋮ Convergence rates of discrete-time stochastic approximation consensus algorithms: graph-related limit bounds ⋮ Consensus seeking in a network of discrete-time linear agents with communication noises ⋮ Stochastic consensus control of multi-agent systems under general noises and delays

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