Distributed optimal resource allocation with second-order multi-Agent systems

This paper studies the resource allocation problems with second-order multi-agent systems under the constraint of the global network resource. A novel distributed continuous-time algorithm, which only uses the local information, is proposed. By using matrix transform and differential inequality technique, the exponential convergence is obtained under the undirected and connected graph. To reduce energy consumption and communication costs, a distributed event-triggered algorithm is designed. It is proved that not only this algorithm converges exponentially to the optimal allocation, but also the event-triggered time sequence does not exhibit Zeno-behavior. Finally, numerical examples illustrate the effectiveness of theoretical results.