Multi-agent consensus algorithm with obstacle avoidance via optimal control approach

DOI10.1080/00207179.2010.535174zbMath1205.93013OpenAlexW2147949878MaRDI QIDQ3074655

Ming Xin, Jian-An Wang

Publication date: 10 February 2011

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207179.2010.535174

zbMATH Keywords

optimal controlconsensusmulti-agentcooperative controlobstacle avoidance

Mathematics Subject Classification ID

Decentralized systems (93A14) Asymptotic stability in control theory (93D20)

Related Items (9)

Distributed design of approximately optimal controller for identical discrete-time multi-agent systems ⋮ An adaptive critic-based scheme for consensus control of nonlinear multi-agent systems ⋮ Cooperative optimal control for Lipschitz nonlinear systems over generally directed topologies ⋮ Cooperative robust optimal control of uncertain multi-agent systems ⋮ Hierarchical control of cooperative nonlinear dynamical systems ⋮ Optimal formation control and collision avoidance in environment with multiple rectangle obstacles ⋮ LQR-based optimal topology of leader-following consensus ⋮ A Risk-Averse Differential Game Approach to Multi-agent Tracking and Synchronization with Stochastic Objects and Command Generators ⋮ Local pursuit strategy-inspired cooperative trajectory planning algorithm for a class of nonlinear constrained dynamical systems

Cites Work

• Fast linear iterations for distributed averaging
• Nonquadratic cost and nonlinear feedback control
• Cooperative Control of Dynamical Systems With Application to Autonomous Vehicles
• Cooperative Control of Multiple Nonholonomic Mobile Agents
• Distributed Subgradient Methods for Multi-Agent Optimization
• Coordination of groups of mobile autonomous agents using nearest neighbor rules
• Information Flow and Cooperative Control of Vehicle Formations
• On Maximizing the Second Smallest Eigenvalue of a State-Dependent Graph Laplacian
• Flocking for Multi-Agent Dynamic Systems: Algorithms and Theory
• Distributed multi‐vehicle coordinated control via local information exchange

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