Distributed aperiodic model predictive control for multi-agent systems
Distributed aperiodic model predictive control for multi-agent systems
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DOI：
10.1049/iet-cta.2014.0368
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发表时间：
2015-01
影响因子：
2.6
通讯作者：
Kazumune Hashimoto;S. Adachi;Dimos V. Dimarogonas
中科院分区：
文献类型：
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作者：
Kazumune Hashimoto;S. Adachi;Dimos V. Dimarogonas
在这项研究中，作者提出了一个非周期制定的模型预测控制的分布式代理加性有界干扰。在所提出的方法中，每个代理解决一个最优控制问题时，某些控制性能不能保证根据一定的触发规则。这可以导致能量消耗的减少和通信资源的过度使用的缓解。触发规则的事件触发和自触发配方。最后通过仿真实例验证了该方法的有效性.
In this study, the authors propose an aperiodic formulation of model predictive control for distributed agents with additive bounded disturbances. In the proposed method, each agent solves an optimal control problem only when certain control performances cannot be guaranteed according to certain triggering rules. This could lead to the reduction of energy consumption and the alleviation of over usage of communication resources. The triggering rules are derived for both event-triggered and self-triggered formulation. The authors proposed method is also verified through a simulation example.