报告详情
Determining the Trajectory of a Mobile Robot Using Chaotic Dynamical Systems
编号：16
访问权限：仅限参会人
更新：2025-11-19 09:11:42 浏览：17次
拓展类型1
报告开始：暂无开始时间（Asia/Amman）
报告时间：暂无持续时间
所在会场：[暂无会议] [暂无会议段]
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摘要
The research introduces a methodology for identifying the primary parameters necessary for the trajectory construction of a mobile robot, utilizing chaotic, dynamic systems. This enhances the ergodicity and adaptability of movement in a dynamic context. The suggested mathematical model integrates the production of chaotic sequences to establish reference points and algorithms for their localized tracking, considering safety limitations, including the regulation of barrier functions. The numerical simulations demonstrated the method's efficacy in circumventing local minima and achieving uniform workspace coverage while preserving movement stability. This facilitates the formulation of paths that consider unforeseen impediments and enhances the resilience of control algorithms against external disturbances. Simultaneously, it has been demonstrated that chaotic models are advantageous for developing nonlinear adaptive trajectories in intricate contexts where traditional methods exhibit constrained efficacy. Consequently, the suggested methodology ensures precise positioning and secure interaction with other agents within the Industry 5.0 context.
关键词
Adaptive Filtering,barrier,chaotic theory,lorentz,Mobile Robot,trajectory planning
报告人
Jafar Ababneh
associate professor Jafar Ababneh Cyber Security department； Faculty of Information Technology Zarqa University Zarqa； Jordan jababneh@zu.edu.jo稿件作者
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重要日期
-
会议日期
12月29日
2025
至12月31日
2025
-
11月30日 2025
初稿截稿日期
-
12月30日 2025
报告提交截止日期
-
12月30日 2025
注册截止日期
主办单位
国际科学联合会
承办单位
扎尔卡大学
联系方式
- Miss AsianComNet
- as******@usssociety.org
历届会议
-
2024年10月24日 泰国 Bangkok
2024亚洲通讯与网络会议
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