对于具有输入和输出量化多代理系统的预定义时间共识控制.
Junyi Shi1, Huidong Cheng1, Fang Wang1
1College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, Shandong, 266590, China.
概括
本研究介绍了使用量子化通信对未知非线性多代理系统 (NMAS) 的自适应性神经共识控制. 这种新的策略确保追随者的输出在预定义的时间内与领导者的输出相聚.
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
- 网络化系统 网络化系统
背景情况:
- 非线性多代理系统 (NMAS) 存在重大控制挑战.
- 现有的预定义时间控制方法往往缺乏适应性和强大的处理量化通信.
研究的目的:
- 为未知的NMAS在预定义的时间限制下运行开发一种新的自适应神经共识控制策略.
- 通过结合量子化通信和定向网络拓来解决现有方法的局限性.
主要方法:
- 使用神经网络来近似未知的系统功能.
- 设计基于神经网络的分布式状态观察器,用于无法测量的状态.
- 使用后退和命令过来管理具有量化输出的虚拟控制信号衍生品.
- 开发一种新的Lemma 12,用于预定义时间稳定性分析,并进行量子化误差补偿.
主要成果:
- 提出的策略成功地实现了共识,追随者的输出汇聚到领导者的输出附近.
- 封闭循环系统中的所有信号都被证明是有界的.
- 控制策略在预定义的时间框架内是有效的.
结论:
- 新的自适应神经共识控制策略为未知的NMAS提供了强大的解决方案,具有量化通信.
- 神经网络,状态观察器和先进控制技术的集成使预定义的时间稳定性和有限的系统信号成为可能.
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