基于模型预测的事件触发多智能体系统设计
Based on model predictive event-triggered multi-agent systems design
韩春松 1曹冉 1魏瑶1
作者信息
- 1. 齐齐哈尔大学机电工程学院,黑龙江齐齐哈尔 161006
- 折叠
摘要
多智能体系统在很多领域内都得到了广泛关注,但在分布式模型预测控制方面依然较为薄弱.针对系统状态未知的多智能体系统,引入动态Luenherger观测器估计系统状态.然后,根据离散李亚普诺夫稳定性,采用反步法设计一种新的事件触发策略,以获取通信带宽利用率和控制性能之间的权衡.最后,通过仿真验证算法的有效性.
Abstract
Multi-agent systems(MAS)have received much attention within many fields,hut are still weak in distributed model predictive control(DMPC).For MAS with unknown system states,a dynamic Luenherger observer is introduced to estimate the system states.Then,based on the discrete Lyapunov stability,a new event-triggering strategy is designed using backstepping to obtain a trade-off between communication bandwidth utilization and control performance.Finally,the effectiveness of the algorithm is verified by simulation.
关键词
多智能体系统/模型预测控制/事件触发机制/Luenherger观测器Key words
multi-agent systems/model predictive control/event-triggered mechanism/Luenberger observer引用本文复制引用
基金项目
黑龙江省省属本科高校基本科研业务费科研项目(145109307)
黑龙江省高等教育教学改革研究项目(SJGY20210946)
齐齐哈尔大学校级教研项目(JGXM_QUG_2021029)
出版年
2024
NETL
NSTL
万方数据