Robust cooperative learning control for directed networks with nonlinear dynamics

DOI10.1016/j.automatica.2016.09.022zbMath1351.93042OpenAlexW2548855981MaRDI QIDQ2374483

Deyuan Meng, Kevin L. Moore

Publication date: 15 December 2016

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2016.09.022

zbMATH Keywords

disturbancesswitching topologiescooperative learninginitial state shiftsnonlinear agentsrelative formation

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Perturbations in control/observation systems (93C73) Decentralized systems (93A14)

Related Items (13)

Adaptive iterative learning protocol design for nonlinear multi-agent systems with unknown control direction ⋮ Event-triggered iterative learning control for linear time-varying systems ⋮ Learning control for linear systems under general data dropouts at both measurement and actuator sides: a Markov chain approach ⋮ Cooperative iterative learning for uncertain nonlinear agents in leaderless switching networks ⋮ Convergence of iterative learning control for SISO nonrepetitive systems subject to iteration-dependent uncertainties ⋮ Optimal filtering and control for wireless networked closed‐loop control systems ⋮ Collective point-to-point iterative learning control of multi-agent system with switched reference ⋮ Decentralized iterative learning control for constrained collaborative tracking ⋮ Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control ⋮ Stability analysis of neural network controller based on event triggering ⋮ Stability analysis of nonlinear multi-agent relay tracking systems over a finite time interval ⋮ Nonholonomic dynamic linearisation based adaptive PID-type ILC for nonlinear systems with iteration-varying uncertainties ⋮ Consensus control of leader-following nonlinear multi-agent systems with distributed adaptive iterative learning control

Cites Work

• Unnamed Item
• Unnamed Item
• An iterative learning approach to formation control of multi-agent systems
• On iterative learning algorithms for the formation control of nonlinear multi-agent systems
• Average TimeSynch: a consensus-based protocol for clock synchronization in wireless sensor networks
• Learning to cooperate: networks of formation agents with switching topologies
• On consensus algorithms design for double integrator dynamics
• Optimal iterative learning control design for multi-agent systems consensus tracking
• Adaptive iterative learning control for coordination of second-order multi-agent systems
• Trajectory-keeping in satellite formation flying via robust periodic learning control
• A survey on iterative learning control for nonlinear systems
• High‐precision formation control of nonlinear multi‐agent systems with switching topologies: A learning approach
• Reaching a Consensus in a Dynamically Changing Environment: A Graphical Approach
• Consensus and Cooperation in Networked Multi-Agent Systems
• Convergence Speed in Distributed Consensus and Averaging
• Coordination of groups of mobile autonomous agents using nearest neighbor rules
• 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

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