دورية أكاديمية

A Novel Zeroing Neural Network Control Scheme for Tracked Mobile Robot Based on an Extended State Observer

التفاصيل البيبلوغرافية
العنوان: A Novel Zeroing Neural Network Control Scheme for Tracked Mobile Robot Based on an Extended State Observer
المؤلفون: Yuxuan Cao, Jinyun Pu
المصدر: Applied Sciences, Vol 14, Iss 1, p 303 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: tracked mobile robot, extended state observer, fixed time, zeroing neural network, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: A novel zeroing neural network control scheme based on an extended state observer is proposed for the trajectory tracking of a tracked mobile robot which is subject to unknown external disturbances and uncertainties. To estimate unknown lumped disturbances and unmeasured velocities, a third-order fixed-time extended state observer is proposed, and the observation errors converge to zero in fixed time. Based on the estimated values, the zeroing neural network controller is designed for a tracked mobile robot to track an eight shape. The stability of the system is analyzed based on Lyapunov theory. Simulation results are illustrated to show the effectiveness of the proposed control scheme.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/14/1/303; https://doaj.org/toc/2076-3417
DOI: 10.3390/app14010303
URL الوصول: https://doaj.org/article/45b9496270d24782a87a9b3f9d96b91d
رقم الأكسشن: edsdoj.45b9496270d24782a87a9b3f9d96b91d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app14010303