多代理系统的采样数据控制器方案及其对电路网络的应用.
A Stephen1, R Karthikeyan2, C Sowmiya2
1Center for Computational Modeling, Chennai Institute of Technology, Chennai 600 069, India; School of Information and Control Engineering, Kunsan National University, Gunsan-siJeonbuk The Republic of Korea.
概括
本研究提出了一种新方法来同步多代理系统 (MASs) 使用采样数据控制,解决状态量化和时间变化的延迟. 该方法通过通过模拟验证的线性矩阵不等式 (LMIs) 确保了领导者跟随者同步.
科学领域:
- 控制理论 控制理论
- 系统工程 系统工程
- 机器人技术 机器人技术 机器人技术
背景情况:
- 多代理系统 (MAS) 需要强大的控制策略来协调行为.
- 状态量化和时间变化的延迟在实现同步方面带来了重大挑战.
- 现有的方法可能无法充分解决MAS中采样数据控制的复杂性.
研究的目的:
- 开发采样数据控制下MAS的同步标准.
- 为了考虑状态量化和控制设计中的时间变化的延迟.
- 确保领导者和追随者系统之间的可靠同步.
主要方法:
- 开发了一种新的循环莱普诺夫-克拉索夫斯基函数 (LKF).
- 在LKF集成采样间隔信息进行同步.
- 同步条件是用线性矩阵不等式 (LMI) 来表达的.
主要成果:
- 拟议的方法建立了明确的同步标准.
- LMI 提供了一个计算可处理的条件,用于控制器设计.
- 可行性和有效性通过数值模拟和比较分析得到证实.
结论:
- 开发的采样数据控制方法有效地实现了MASS中的同步.
- 该方法成功地处理了状态量化和时间变化的延迟.
- 基于LMI的解决方案为MAS同步提供了一个实用的工具.
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