Distributed Continuous-Time Resource Allocation Algorithm for Networked Double-Integrator Systems with Time-Varying Non-Identical Hessians and Resources

Distributed Continuous-Time Resource Allocation Algorithm for Networked Double-Integrator Systems with Time-Varying Non-Identical Hessians and Resources
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DOI：
10.23919/acc55779.2023.10156380
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发表时间：
2023-05
期刊：
2023 American Control Conference (ACC)
影响因子：
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通讯作者：
Yong Ding;W. Ren;Ziyang Meng
Yong Ding;W. Ren;Ziyang Meng
中科院分区：
其他
文献类型：
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作者：
Yong Ding;W. Ren;Ziyang Meng

文献摘要

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本文研究具有时变成本函数和资源的网络双积分系统的最优资源分配问题。由于不同的 Hessian 矩阵和更复杂的智能体动力学所带来的挑战并存，因此对单积分器智能体现有相关结果的扩展是非常重要的。提出了一种分布式算法来解决时变资源分配问题并实现精确的最优跟踪。最后，提供一个例子来说明所提算法的有效性。
This paper investigates the optimal resource allocation problem for networked double-integrator systems with time-varying cost functions and resources. Due to the coexistence of challenges caused by non-identical Hessians and more complicated agents’ dynamics, the extension from existing related results on single-integrator agents is nontrivial. A distributed algorithm is proposed to address the time-varying resource allocation problem and achieve the exact optimum tracking. Finally, an example is provided to illustrate the effectiveness of the proposed algorithm.