Dynamic task allocation in multi-robot coordination for moving target tracking: a distributed approach

DOI10.1016/j.automatica.2018.11.001zbMath1411.93122OpenAlexW2900987377WikidataQ128880940 ScholiaQ128880940MaRDI QIDQ1737611

Hung Manh La, Bin Hu, Long Jin, Xin Zhang, Shuai Li

Publication date: 24 April 2019

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2018.11.001

zbMATH Keywords

nonlinear filtersdistributed controltarget trackingdynamic task allocation\(k\)-winners-take-all (\(k\)-WTA)

Mathematics Subject Classification ID

Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Automated systems (robots, etc.) in control theory (93C85) Decentralized systems (93A14) Nonholonomic dynamical systems (37J60)

Related Items (8)

Vision-based finite-time uncooperative target tracking for UAV subject to actuator saturation ⋮ Single-state distributed \(k\)-winners-take-all neural network model ⋮ Consensus of multiagent with interaction distortions via echo control ⋮ Comprehensive understanding of a distributed \(k\)-WTA strategy in a competitive behavior ⋮ Discrete-time zeroing neural network of \(O(\tau^4)\) pattern for online solving time-varying nonlinear optimization problem: application to manipulator motion generation ⋮ Analysis and design of a distributed \(k\)-winners-take-all model ⋮ Discrete-time formulation, control, solution and verification of pendulum systems with zeroing neural dynamics ⋮ H_∞ consensus of multi-agent systems with semi-Markovian switching topologies and mode-dependent delays

Cites Work

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• Distributed Winner-Take-All in Dynamic Networks
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