适应性模糊事件触发多机器人系统的合作控制:预定义的时间战略
Xuehong Tian1,2, Xin Huang1,2, Haitao Liu1,2
1Shenzhen Institute of Guangdong Ocean University, Shenzhen 518120, China.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
本研究介绍了一种用于多机器人系统的新型预定义时间适应性模糊合作控制器. 控制器有效地管理干扰和不确定性,同时优化通信资源.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 人工智能的人工智能
背景情况:
- 多机器人系统需要强大的控制策略来处理外部干扰,输入和和模型不确定性.
- 有效的通信资源管理对于多机器人系统的可扩展性和实用性至关重要.
- 在合作控制中实现精确和快速的融合时间仍然是一个重大挑战.
研究的目的:
- 为多机器人系统提出预定义时间的适应性模糊合作控制器.
- 应对外部干扰,输入和和模型不确定性所带来的挑战.
- 通过事件触发机制来提高通信效率.
主要方法:
- 开发一个预定义时间控制器,使用一个不对称的tan型屏障Lyapunov函数用于定向通信拓.
- 实施预定义时间模糊逻辑系统,以近似外部干扰和模型不确定性.
- 改进动态相对值事件触发机制,以节省通信资源.
主要成果:
- 拟议的控制器确保了快速响应和精确的融合时间.
- 模糊逻辑系统有效地近似系统不确定性和外部干扰.
- 事件触发机制显著降低了通信负载.
- 预定义的时间稳定性是严格证明使用Lyapunov稳定性定理.
结论:
- 开发的控制器在多机器人系统内管理复杂条件方面表现出有效性.
- 模糊逻辑和事件触发的整合提供了一个有前途的方法,用于强大的和高效的合作控制.
- 模拟结果验证了算法的性能和比较方法的优势.
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