Sufficient conditions for the convergence of a class of nonlinear distributed consensus algorithms

DOI10.1016/j.automatica.2011.01.042zbMath1219.93005OpenAlexW2158401151MaRDI QIDQ716153

Amir Ajorlou, Ahmadreza Momeni, Amir G. Aghdam

Publication date: 19 April 2011

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://spectrum.library.concordia.ca/975174/1/Aghdam2010c.pdf

zbMATH Keywords

stability analysisdistributed controldirected graphsautonomous mobile robotscooperative control

Mathematics Subject Classification ID

Automated systems (robots, etc.) in control theory (93C85) Decentralized systems (93A14) Graph algorithms (graph-theoretic aspects) (05C85)

Related Items (8)

Reach a nonlinear consensus for MAS via doubly stochastic quadratic operators ⋮ Leader localization in multi-agent systems subject to failure: a graph-theoretic approach ⋮ Iterative learning approaches to design finite-time consensus protocols for multi-agent systems ⋮ Tracking control over a finite interval for multi-agent systems with a time-varying reference trajectory ⋮ Consensus on compact Riemannian manifolds ⋮ Network Consensus in the Wasserstein Metric Space of Probability Measures ⋮ Robust iterative learning protocols for finite-time consensus of multi-agent systems with interval uncertain topologies ⋮ Nonlinear consensus via continuous, sampled, and aperiodic updates

Cites Work

• Consensus and Cooperation in Networked Multi-Agent Systems
• Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
• Necessary and sufficient graphical conditions for formation control of unicycles
• Stability of multiagent systems with time-dependent communication links
• Consensus seeking in multiagent systems under dynamically changing interaction topologies
• Flocking for Multi-Agent Dynamic Systems: Algorithms and Theory
• Flocking in Fixed and Switching Networks
• A Class of Bounded Distributed Control Strategies for Connectivity Preservation in Multi-Agent Systems
• State Agreement for Continuous‐Time Coupled Nonlinear Systems
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