Trajectory tracking control of a self-balancing robot via adaptive neural networks

In order to ensure trajectory tracking on a two degrees-of-freedom self-balancing robot (SBR) a control scheme, based on the combination of adaptive neural networks and input–output linearization, is presented in this paper. Both external and internal dynamics are analyzed and proof of uniform ultim...

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Bibliographic Details
Main Authors: Isaac Gandarilla, Jorge Montoya-Cháirez, Víctor Santibáñez, Carlos Aguilar-Avelar, Javier Moreno-Valenzuela
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Engineering Science and Technology, an International Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2215098622001689