Event-triggered Synchronous Distributed Model Predictive Control for Multi-agent Systems
Event-triggered Synchronous Distributed Model Predictive Control for Multi-agent Systems
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DOI：
10.1007/s12555-019-0795-9
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发表时间：
2020-12
期刊：
影响因子：
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通讯作者：
Xiaoming Tang;Mengyue Li;Shanbi Wei;B. Ding
中科院分区：
文献类型：
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作者：
Xiaoming Tang;Mengyue Li;Shanbi Wei;B. Ding
针对一类具有耦合性能目标的动态解耦、独立约束系统，提出了一种事件触发的分布式模型预测控制（DMPC）方法。该方法采用，为每个代理，兼容性约束（邓巴和默里的精神）的优化问题。一个事件触发条件，基于系统的整体稳定性条件，开发。如果一个代理的触发条件得到满足，那么该代理解决其优化问题;否则，那么该代理通过简单地采用其先前解决方案的尾部来保持可行性和稳定性。最后给出了一个仿真例子来说明该方法的有效性。
An event-triggered distributed model predictive control (DMPC) approach for a type of dynamically decoupled, independently constrained systems with a coupled performance objective, is presented. The approach employs, for each agent, a compatibility constraint (in the spirit of Dunbar and Murray) in the optimization problem. An event-triggering condition, based-on the overall stability condition of the system, is developed. If the triggering condition for an agent is satisfied, then the agent solves its optimization problem; otherwise, then the agent retain feasibility and stability by simply adopting the tail of its previous solutions. A simulation example is provided to illustrate the effectiveness of the provided approach.