Dynamic neural network-based adaptive tracking control for an autonomous underwater vehicle subject to modeling and parametric uncertainties
F Muñoz, JS Cervantes-Rojas, JM Valdovinos… - Applied Sciences, 2021 - mdpi.com
This research presents a way to improve the autonomous maneuvering capability of a four-
degrees-of-freedom (4DOF) autonomous underwater vehicle (AUV) to perform trajectory …
degrees-of-freedom (4DOF) autonomous underwater vehicle (AUV) to perform trajectory …
Leader–follower consensus control for a class of nonlinear multi-agent systems using dynamical neural networks
This paper addresses the formation consensus tracking control problem of uncertain
dynamical multi-agent system with nonlinear dynamics based on a leader–follower …
dynamical multi-agent system with nonlinear dynamics based on a leader–follower …
State-input affine approximate modeling based on a differential neural network identifier
A Guarneros-Sandoval, M Ballesteros… - Applied Mathematical …, 2024 - Elsevier
This work presents the development of a state-input affine differential neural network that
approximates a class of nonlinear systems with uncertain dynamics and perturbations. The …
approximates a class of nonlinear systems with uncertain dynamics and perturbations. The …
Non-parametric identification of homogeneous dynamical systems
The aim of this study is to design a non-parametric identifier for homogeneous systems
based on a class of artificial neural networks with continuous dynamics. The identification …
based on a class of artificial neural networks with continuous dynamics. The identification …
Adaptive discontinuous control for homogeneous systems approximated by neural networks
This study is devoted to the design of an adaptive discontinuous control based on differential
neural networks (DNNs) for a class of uncertain homogeneous systems. The control is …
neural networks (DNNs) for a class of uncertain homogeneous systems. The control is …