Quantized event-triggered communication based multi-agent system for distributed resource allocation optimization
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Publication:6066172
DOI10.1016/j.ins.2021.07.022OpenAlexW3179199991MaRDI QIDQ6066172
Qingshan Liu, Zhigang Zeng, Kaixuan Li
Publication date: 12 December 2023
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2021.07.022
resource allocationmulti-agent systemdistributed optimizationquantized event-triggered communication
Resource and cost allocation (including fair division, apportionment, etc.) (91B32) Agent technology and artificial intelligence (68T42)
Cites Work
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- Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems
- Distributed gradient algorithm for constrained optimization with application to load sharing in power systems
- Event-triggered zero-gradient-sum distributed consensus optimization over directed networks
- Quadratic resource allocation with generalized upper bounds
- Distributed convex optimization via continuous-time coordination algorithms with discrete-time communication
- Event-based broadcasting for multi-agent average consensus
- Stochastic self-triggered MPC for linear constrained systems under additive uncertainty and chance constraints
- Distributed event-triggered consensus for nonlinear multi-agent systems subject to cyber attacks
- A performance guaranteed sampled-data event-triggered consensus approach for linear multi-agent systems
- Distributed optimization problem for second-order multi-agent systems with event-triggered and time-triggered communication
- Continuous-time and sampled-data-based average consensus with logarithmic quantizers
- Differentially private distributed optimization for multi-agent systems via the augmented Lagrangian algorithm
- Distributed asynchronous deterministic and stochastic gradient optimization algorithms
- Lyapunov stability theory of nonsmooth systems
- Event-Triggered Quantized Communication-Based Distributed Convex Optimization
- Distributed Subgradient Methods for Multi-Agent Optimization
- Quantized average consensus via dynamic coding/decoding schemes
- Event-Triggered Control for Consensus Problem in Multi-Agent Systems With Quantized Relative State Measurements and External Disturbance
- Sampled-data consensus for multi-agent systems with quantised communication
- Distributed Consensus With Limited Communication Data Rate
- Stability of time-delay systems
- Distributed optimization without boundedness of gradients for second-order multi-agent systems over unbalanced network
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