通过图形结构增强自动和最佳控制系统
Sumati Kumari Panda1, Ilyas Khan2, Vijayakumar Velusamy3
1Department of Mathematics, GMR Institute of Technology, Rajam, Andhra Pradesh, 532127, India. mumy143143143@gmail.com.
Scientific reports
|February 7, 2024
概括
本研究介绍了扩展的超尺度空间的图形结构,并将其应用于超图形收缩映射. 一个递归算法帮助自适应系统在代构建输出函数,通过这种映射确保解决方案.
科学领域:
- * 数学 是一个学科.
- * * 控制理论 控制理论
- * 计算机科学 计算机科学
背景情况:
- * 探索扩展的超直径空间的基本概念.
- * 审查有关图形结构和合约映射的现有文献.
- * 建立了将新型图形概念应用于高级数学空间的背景.
研究的目的:
- * 引入和定义在扩展的超直径空间内的图形结构.
- *将这些结构应用于超图形合约映射理论.
- * 研究这些概念在适应性和最佳控制系统中的实用性.
主要方法:
- * 基于图形概念的递归算法的开发.
- * 应用超图形合约映射以确保解决方案的存在.
- * 分析历史背景和控制理论中的相关结果.
主要成果:
- * 引入一种新的框架,在扩展的超直径空间中使用图形结构.
- * 在自适应系统中展示了用于代函数构建的递归算法.
- * 验证超图形合约映射,以确保解决方案的存在.
结论:
- *图形结构为分析扩展的超直径空间提供了强大的工具.
- * 建议的递归算法和映射在自适应控制框架中是有效的.
- * 发现为开发先进的控制系统提供了新的前景.
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