期刊
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
卷 31, 期 11, 页码 5330-5342出版社
WILEY
DOI: 10.1002/rnc.5543
关键词
distributed optimization; multiagent systems; resource allocation; second‐ order nonlinear systems
资金
- Education Innovation Engineering and Specialty of Hunan Province [CX20200203]
- Fundamental Research Funds for the Central Universities of Central South University [2020zzts126]
- Hunan Provincial Natural Science Foundation of China [2019JJ50754]
- National Defense Pre-Research Foundation of China [61403120406]
- National Natural Science Foundation of China [61803385]
This article investigates a resource allocation problem of second-order nonlinear multiagent systems, proposing a distributed protocol for agents based on gradient descent and analyzing the global convergence of the algorithm by constructing a suitable Lyapunov function. Examples are provided to illustrate the results.
This article investigates a resource allocation problem of second-order nonlinear multiagent systems. The resource allocation problem arises from many fields such as economic dispatch, network utility maximization, and demand response. Due to the dynamics of agents, we cannot solve this problem by using existing resource allocation algorithms. In order to achieve the optimal allocation, we propose a distributed protocol for agents based on gradient descent. Besides, we analyze the global convergence of the algorithm by constructing a suitable Lyapunov function. Finally, we provide examples to illustrate our result.
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