Leader-following consensus of linear time-varying multi-agent systems under fixed and switching topologies

DOI10.1016/J.AUTOMATICA.2020.108804zbMath1440.93234OpenAlexW3000216272WikidataQ126358503 ScholiaQ126358503MaRDI QIDQ2173980

Jiahe Jiang, Yang-Yang Jiang

Publication date: 17 April 2020

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2020.108804

zbMATH Keywords

multi-agent systemslinear time-varying systemconsensus trackingleader-following consensus

Mathematics Subject Classification ID

Linear systems in control theory (93C05) Hierarchical systems (93A13) Multi-agent systems (93A16) Consensus (93D50)

Related Items (11)

Stochastic leader-following consensus of discrete-time nonlinear multi-agent systems with multiplicative noises ⋮ Determining efficiency of small-world algorithms: a comparative approach ⋮ Synchronization control for multiple Euler–Lagrange systems in leader–follower framework under switching and event‐based communications ⋮ Distributed robust fault‐tolerant consensus tracking control for multi‐agent systems with exogenous disturbances under switching topologies ⋮ Prescribed performance control of nonlinear multi-agent systems under switching topologies ⋮ Observer-based quadratic boundedness leader-following control for multi-agent systems ⋮ Consensus of input-constrained periodic linear multi-agent systems by fully distributed protocols ⋮ Pinning consensus control for switched multi-agent systems: a switched adaptive dynamic programming method ⋮ Disturbance-observer-based formation-containment control for UAVs via distributed adaptive event -triggered mechanisms ⋮ Leader-following consensus considering effects of agents on each other via impulsive control: a topology dependent average dwell time approach ⋮ Adaptive event-triggering consensus for multi-agent systems with linear time-varying dynamics

Cites Work

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• Leader-following consensus of multi-agent systems under fixed and switching topologies
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• Flocking for Multi-Agent Dynamic Systems: Algorithms and Theory
• Distributed Coordinated Tracking With a Dynamic Leader for Multiple Euler-Lagrange Systems
• Consensus of Multi-Agent Systems With General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols

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