Consensus seeking via iterative learning for multi-agent systems with switching topologies and communication time-delays
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Publication:5298475
DOI10.1002/rnc.3534zbMath1351.93009OpenAlexW2289749656MaRDI QIDQ5298475
Deyuan Meng, Junping Du, Yingmin Jia
Publication date: 15 December 2016
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.3534
iterative learning controlmulti-agent systemsswitching topologiesmonotonic convergencecommunication time-delaysconsensus seeking
Learning and adaptive systems in artificial intelligence (68T05) Decentralized systems (93A14) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30) Agent technology and artificial intelligence (68T42)
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Cites Work
- An iterative learning approach to formation control of multi-agent systems
- Tracking control over a finite interval for multi-agent systems with a time-varying reference trajectory
- On iterative learning algorithms for the formation control of nonlinear multi-agent systems
- Finite-time consensus algorithm for multi-agent systems with double-integrator dynamics
- Learning to cooperate: networks of formation agents with switching topologies
- Optimal iterative learning control design for multi-agent systems consensus tracking
- Finite-time consensus tracking for harmonic oscillators using both state feedback control and output feedback control
- Adaptive consensus with a virtual leader of multiple agents governed by locally Lipschitz nonlinearity
- Consensus of second-order multi-agent systems with delayed nonlinear dynamics and intermittent communications
- Formation control for multi-agent systems through an iterative learning design approach
- Containment control of multi-agent systems by exploiting the control inputs of neighbors
- 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
- Containment control of linear multi‐agent systems with multiple leaders of bounded inputs using distributed continuous controllers
- Consensus strategy for a class of multi‐agents with discrete second‐order dynamics
- Practical consensus for high-order linear time-invariant swarm systems with interaction uncertainties, time-varying delays and external disturbances
- Distributed observer design for bounded tracking control of leader-follower multi-agent systems in a sampled-data setting
- A new class of finite-time nonlinear consensus protocols for multi-agent systems
- Group consensus control for double‐integrator dynamic multiagent systems with fixed communication topology
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