Genetic high-gain controller to improve the position perturbation attenuation and compact high-gain controller to improve the velocity perturbation attenuation in …

J de Jesús Rubio, MA Hernandez, FJ Rosas, E Orozco… - Neural Networks, 2024 - Elsevier
From the control theory, bigger observer and controller gains are utilized to improve the
position perturbation attenuation, while smaller observer and controller gains are utilized to …

Event-triggered fixed-time tracking control for uncertain networked autonomous surface vehicle with disturbances

G Guo, H Tan, Y Feng, Y Wang - Ocean Engineering, 2024 - Elsevier
This paper delves into the trajectory tracking problem of networked autonomous surface
vehicles (NASV) facing model uncertainty and disturbances. A novel event-triggered …

Improved finite-time prescribed performance super-twisting sliding mode united control framework for underwater vehicle-manipulator system

X Xiong, X Xiang, Y Duan, S Yang - Ocean Engineering, 2023 - Elsevier
This paper investigates the trajectory tracking control problem for underwater vehicle-
manipulator system (UVMS) with model uncertainties, dynamic coupling effects and external …

Radial basis function neural networks for optimal control with model reduction and transfer learning

A Zhao, S Xing, X Wang, JQ Sun - Engineering Applications of Artificial …, 2024 - Elsevier
This paper proposes a method to compute the solutions of linear optimal control expressed
in terms of the radial basis function neural networks with Gaussian activation functions for …

[HTML][HTML] Robust Leader–Follower Formation Control Using Neural Adaptive Prescribed Performance Strategies

F Xie, G Liang, YR Chien - Mathematics, 2024 - mdpi.com
This paper introduces a novel leader–follower formation control strategy for autonomous
vehicles, aimed at achieving precise trajectory tracking in uncertain environments. The …

Observer-based practical predefined-time control for unmanned surface vehicles with guaranteed performance: A novel integral sliding mode approach

C Cai, J Zhao, Z Feng, D Zeng - 2024 - researchsquare.com
This paper investigates practical predefined-time trajectory tracking control problem with
guaranteed performance for unmanned surface vehicles (USVs) suffering from dynamic …

Graph-Guided Adaptive Formation Control with Prescribed Performance Enhanced by Neural Network-Based Backstepping

F Xie, G Liang, YR Chien - 2024 - preprints.org
This research addresses the formidable challenge of achieving precise trajectory tracking for
autonomous vehicle formations in uncertain environments. It introduces an adaptive control …

Adaptive Finite-Time Control for the Chemotherapy of Brain Tumor via NN-Based Backstepping Approach

M Wu, X Zhang, S Xia, Y Feng… - 2023 China Automation …, 2023 - ieeexplore.ieee.org
A brain tumor is a significant class of diseases that pose a threat to human health. Based on
the logistic growth law of brain tumor cells and host cells, a brain tumor with drug model is …

A Backstepping Neural Network-Based Manufacture and Leader-Follower Formation Control of Multiple Autonomous Underwater Vehicles

M Rani, N Kumar, A Dahiya - Internet of Things and Big Data Analytics … - taylorfrancis.com
Autonomous underwater vehicle (AUV) formation is a type of cooperative control that
concentrates on directing several AUVs to move together while performing tasks. Multi-AUV …

Actor-Critic Learning-Based Finite-Time Secure Formation Maneuver Control of Multiagent Systems with Deception Attacks and Backlash-Like Hysteresis

M Maaruf, S El Ferik - Available at SSRN 4990022 - papers.ssrn.com
This paper studies the leader-follower affine formation maneuver (AFM) problem for
uncertain nonlinear multiagent systems, in which some complex and challenging issues …