Academic Journal

Modeling of a non-linear multi-agent distributed control system

التفاصيل البيبلوغرافية
العنوان: Modeling of a non-linear multi-agent distributed control system
المؤلفون: Yong-Chai Tan, Jer-Vui Lee, Vin-Cent Tai, Li-Siang Ngow, Long Tan
المصدر: Journal of Mechanical Engineering and Sciences, Vol 16, Iss 4, Pp 9230-9240 (2022)
بيانات النشر: Universiti Malaysia Pahang Publishing, 2022.
سنة النشر: 2022
المجموعة: LCC:Mechanical engineering and machinery
LCC:Mechanics of engineering. Applied mechanics
مصطلحات موضوعية: non-linear multi-agent system, lyapunov, optimization, leader-following consensus, Mechanical engineering and machinery, TJ1-1570, Mechanics of engineering. Applied mechanics, TA349-359
الوصف: The present study aims to develop a mathematical model for consensus control system based on Lyapunov Theory and nonlinear dynamics functional equations. This paper describes a new solution that deals with the general-consensus problem and the leader-following consensus problem of non-linear multi-agent system in which the parameters of all follower agents can be different, and with an unforced agent as the leader in the multi-agent system. Different control rules were constructed for each different follower agent based on its own state variables and its communication with adjacent agents. Numerical simulations are provided to demonstrate the feasibility of the developed mathematical model. The results have demonstrated the designed distributed control system satisfy the Lyapunov Theory since all the agents have converged to its steady state after a period of time.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2289-4659
2231-8380
Relation: https://journal.ump.edu.my/jmes/article/view/7322; https://doaj.org/toc/2289-4659; https://doaj.org/toc/2231-8380
DOI: 10.15282/jmes.16.4.2022.06.0730
URL الوصول: https://doaj.org/article/af227417b3164ee3bb708dc4d26dfc83
رقم الانضمام: edsdoj.f227417b3164ee3bb708dc4d26dfc83
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22894659
22318380
DOI:10.15282/jmes.16.4.2022.06.0730