Distributed multi-step subgradient projection algorithm with adaptive event-triggering protocols: a framework of multiagent systems
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Publication:5046850
DOI10.1080/00207721.2022.2063967zbMath1504.93221OpenAlexW4224997302MaRDI QIDQ5046850
Wenjing An, Peifeng Zhao, Hongjian Liu, Jun Hu
Publication date: 9 November 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2022.2063967
multi-agent systemsdistributed optimisationadaptive event-triggered protocolsmulti-step subgradient projection algorithm
Convex programming (90C25) Adaptive control/observation systems (93C40) Discrete event control/observation systems (93C65) Distributed algorithms (68W15) Multi-agent systems (93A16)
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Cites Work
- Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems
- Event-triggered zero-gradient-sum distributed consensus optimization over directed networks
- Distributed multi-agent optimization subject to nonidentical constraints and communication delays
- Distributed filtering based on Cauchy-kernel-based maximum correntropy subject to randomly occurring cyber-attacks
- Sampled-data-based fault-tolerant consensus control for multi-agent systems: a data privacy preserving scheme
- Recursive distributed filtering over sensor networks on Gilbert-Elliott channels: a dynamic event-triggered approach
- Moving horizon estimation with non-uniform sampling under component-based dynamic event-triggered transmission
- Distributed event-triggered algorithms for a class of convex optimization problems over directed networks
- Partition-based multi-agent optimization in the presence of lossy and asynchronous communication
- A zero-gradient-sum algorithm for distributed cooperative learning using a feedforward neural network with random weights
- On Convergence Rate of Distributed Stochastic Gradient Algorithm for Convex Optimization with Inequality Constraints
- Distributed Optimization Over Time-Varying Directed Graphs
- Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks
- Probabilistic‐constrained filtering for a class of nonlinear systems with improved static event‐triggered communication
- Harnessing Smoothness to Accelerate Distributed Optimization
- Distributed Subgradient Method With Edge-Based Event-Triggered Communication
- Distributed Subgradient Methods for Multi-Agent Optimization
- Constrained Consensus and Optimization in Multi-Agent Networks
- Distributed Event-Triggered Gradient Method for Constrained Convex Minimization
- Distributed filtering for nonlinear time‐delay systems over sensor networks subject to multiplicative link noises and switching topology
- Distributed Subgradient Methods for Convex Optimization Over Random Networks
- Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
- Zero-Gradient-Sum Algorithms for Distributed Convex Optimization: The Continuous-Time Case
- Push–Pull Gradient Methods for Distributed Optimization in Networks
- Neural‐network‐based control for discrete‐time nonlinear systems with denial‐of‐service attack: The adaptive event‐triggered case
