Distributed Optimization Design for Second-Order Multi-Agent Systems
In this paper,we consider the dynamic optimization problem for continuous-time multi-agent systems with agents in the form of double integrators.Different from multi-agent consensus problem,we have to achieve an optimization performance when the agents become consensus.To solve the problem,we give a distributed gradient-based design for the considered multiagent network under a connected interaction topology,and prove the convergence of the multi-agent systems to the optimization by Lyapunov techniques.Moreover,we also provide simulations to illustrate the theoretical results.
Multi-agent systems Distributed optimization Gradient-based algorithms
Yanqiong ZHANG Yiguang HONG
Key Laboratory of Systems and Control,Academy of Mathematics and Systems Science Chinese Academy of Sciences,Beijing 100190,China
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
1755-1760
2014-07-28(万方平台首次上网日期,不代表论文的发表时间)