基于神经网络的固定时间实用态度同步控制,用于不确定的网络航天器系统
Runlong Peng1, Jinchen Ji2, Bin Zheng1
1Shanghai Institute of Applied Mathematics and Mechanics, School of Mechanics and Engineering Science, Shanghai University, Shanghai, 200072, PR China.
ISA transactions
|August 20, 2025
概括
本研究提出了一种使用神经网络 (NN) 为网络航天器系统 (NSS) 的新型固定时间控制方案,以实现实际的态度同步,尽管存在不确定性. 该方法确保了NSS态度控制的更快的融合和稳定性.
科学领域:
- 航天器的动态和控制控制.
- 网络系统 网络系统是网络系统.
- 控制系统中的人工智能
背景情况:
- 航天器态度同步对于协调任务至关重要.
- 现有的方法与模型不确定性和外部干扰作斗争.
- 固定时间控制提供了有限时间的融合,并提高了稳定性.
研究的目的:
- 为网络航天器系统 (NSSs) 开发一个固定时间的实用态度同步方案.
- 使用神经网络 (NN) 来解决模型不确定性和外部干扰.
- 为同步错误和结算时间提供分析界限.
主要方法:
- 运用拉格朗日表示法用于航天器态度动态.
- 实施通过神经网络增强的固定时间控制策略.
- 采用利亚普诺夫稳定性分析进行理论验证.
- 导出用于同步错误和结算时间限制的分析表达式.
主要成果:
- 提出了一个基于NN的新型分布式固定时间控制方案.
- 该计划确保了无领导和领导追随者NSS的实际态度同步.
- 分析推导证实了固定时间稳定性,并提供了错误/时间限制.
- 模拟验证了拟议方法的有效性和可行性.
结论:
- 拟议的控制方案有效地实现了NSS中固定时间的实际态度同步.
- 国家网络的整合增强了对不确定性的适应性和稳定性.
- 分析框架为NSS控制提供了理论保障和实际设计见解.
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