一类非线性多代理系统的模糊适应事件触发分布式控制
1College of Science, Liaoning University of Technology, Jinzhou 121001, China.
Mathematical biosciences and engineering : MBE
|February 2, 2024
概括
本研究介绍了一种适应性,事件触发的分布式控制器,用于非线性多代理系统 (MAS). 模糊的自适应方法确保追随者系统跟踪领导者,所有系统信号保持稳定.
科学领域:
- 控制系统工程 控制系统工程
- 人工智能的人工智能
- 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) 提出了复杂的控制挑战,特别是非线性系统.
- 事件触发控制策略旨在减少分布式系统中的通信和计算负载.
- 适应性控制对于具有不确定性和不断变化的动态的系统至关重要.
研究的目的:
- 为非线性MAS开发一个适应性和事件触发的分布式控制器.
- 为了确保在领导者-追随者配置中强大的跟踪性能和稳定性.
- 通过事件触发来最大限度地减少数据传输来提高控制效率.
主要方法:
- 使用模糊的自适应控制策略.
- 使用基于Lyapunov的波器进行稳定性分析.
- 在控制器设计中应用后退递归技术.
- 实施事件触发机制以优化控制更新.
主要成果:
- 领导者和追随者代理之间的追踪错误的保证趋同到源地附近的边界区域.
- 通过利亚普诺夫稳定理论证明了所有闭环信号的半全球性,均性和最终局限性.
- 通过模拟测试验证控制机制的有效性.
结论:
- 拟议的模糊自适应事件触发分布式控制器有效地管理非线性MAS.
- 控制策略确保了系统的稳定性和准确的跟踪性能.
- 事件触发机制为MAS的高效分布式控制提供了一个有希望的方法.
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