Optimal Synchronization Control for Heterogeneous Multi-Agent Systems: Online Adaptive Learning Solutions

2020/11/11 by Yuanqiang Zhou, Zhou, Yuanqiang, Dewei Li +3
Computer Science · Engineering · #Adaptive Dynamic Programming Control #Advanced Memory and Neural Computing #Distributed Control Multi-Agent Systems #FOS: Electrical engineering #FOS: Mathematics #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2011.05663

openalex publication_date 2020/11/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper presents an online adaptive learning solution to optimal synchronization control problem of heterogeneous multi-agent systems via a novel distributed policy iteration approach.

Citations

• Designing Fully Distributed Consensus Protocols for Linear Multi-Agent Systems With Directed Graphs

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