适应性超扭转控制,用于基于时间变化的收益的二级多代理系统的领导者遵循共识
Mohammad Javad Mirzaei1, Sehraneh Ghaemi1, Mohammad Ali Badamchizadeh1
1Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.
ISA transactions
|June 9, 2023
概括
本研究介绍了面临未知的干扰的非线性多剂系统 (MAS) 的强大的适应性控制. 开发的方法确保准确的共识,没有喋喋不休,即使在不确定的参数.
科学领域:
- 控制理论 控制理论
- 机器人技术 机器人技术 机器人技术
- 系统工程 系统工程
背景情况:
- 多代理系统 (MAS) 经常面临诸如不确定的参数和外部干扰等挑战.
- 在非线性MAS中与非相同的代理商达成强有力的共识是复杂的.
- 现有的方法可能会与未知的扰动上限作斗争.
研究的目的:
- 为具有不确定的参数和未知的干扰的非线性MAS设计强大的分布式共识控制.
- 扩大现有的共识方法,以处理非相同的代理和外部干扰.
- 开发适应性控制策略,克服未知的扰动界限的限制.
主要方法:
- 适应性时间变化的收益为强大的分布式共识.
- 不连续和连续的自适应一体滑动模式控制策略.
- 分布式超扭转滑动模式策略,具有自适应增益调整.
主要成果:
- 设计的控制器实现了对非相同的非线性MAS的准确和精确的共识.
- 适应性方案有效地处理不确定的参数和未知的上限干扰.
- 超扭曲策略可以防止聊天现象,确保控制执行顺利.
结论:
- 拟议的自适应控制方法证明了非线性MAS的稳定性,准确性和有效性.
- 开发的策略为不确定性下的共识问题提供了可靠的解决方案.
- 模拟证实了设计的控制协议的实际适用性和性能.
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