使用自触发分布式模型预测控制的线性多代理系统的动态共识
Resmi R1, Mija S J2, Jeevamma Jacob2
1TKM College of Engineering, Kollam, 691005, India.
ISA transactions
|August 4, 2023
概括
本研究介绍了分布式模型预测控制 (DMPC) 的自触发算法,以改善多代理系统 (MAS) 中的动态共识. 这种新的方法减少了能源消耗和通信负载,延长了系统的寿命.
科学领域:
- 控制系统工程 控制系统工程
- 机器人技术 机器人技术 机器人技术
- 分布式计算 (Distributed Computing) 是一种分布式计算.
背景情况:
- 多代理系统 (MAS) 中的传统共识算法由于代计算和通信而导致高能耗和缩短寿命.
- 现有的方法通常在分布式控制中扎着计算复杂性和通信开销.
研究的目的:
- 开发使用分布式模型预测控制 (DMPC) 的自触发算法,以在线性MAS中实现动态共识.
- 与传统的DMPC和共识算法相比,减少计算复杂性和通信负载.
主要方法:
- 一个连续的自触发共识算法,每个代理确定自己的触发时刻.
- 一个基于Laguerre函数的DMPC设计,以尽量减少计算复杂性.
- 使用Lyapunov标准和终端状态等级约束来进行闭环稳定性分析.
主要成果:
- 拟议的自触发DMPC算法优化了控制输入和触发间隔,确保了动态共识.
- 在控制器计算和代理间数据传输方面实现了显著的减少.
- 基于Laguerre的控制架构有效地管理额外的计算,而不会压力控制器.
结论:
- 新的自动触发DMPC方案通过减少计算和通信负担,提高了MAS的效率并延长了MAS的寿命.
- 该算法保证了线性MAS中的动态共识和闭环稳定性.
- 车辆排队的模拟证明了拟议方法的实际适用性和有效性.
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