Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches

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Fully Distributed Event-Triggered Protocols for Linear Multiagent Networks (2018, background): “INTRODUCTION Cooperative control, having broad applications in various areas, including flocking, formation control, and distributed sensor networks [1]–[5], relies on the information exchange between neighboring agents and over the network.”
Distributed Model Predictive Control for Heterogeneous Vehicle Platoons Under Unidirectional Topologies (2016, background): “, N} is the set of nodes, and E ⊆ V×V is the set of edges in connection [21], [36].”
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents (2018, methodology): “Most existing work is based on the framework of Markov games, which is first studied in Littman (1994; 2001); Lauer & Riedmiller (2000); Hu & Wellman (2003). This general framework applies to the setting with both collaborative and competitive agents. However, these early algorithms are developed on”
A Multi-Agent Deep Reinforcement Learning Method for Cooperative Load Frequency Control of a Multi-Area Power System (2020, methodology): “The existing methods lack coordination between multiple controllers [12], which limits the overall LFC performance of the whole multi-area power system.”