Recursive terminal sliding mode based control of robot manipulators with a novel sliding mode disturbance observer
T Song, L Fang, Y Zhang, H Shen - Nonlinear Dynamics, 2024 - Springer
This paper investigates the high-precision sliding mode based tracking control of robot
manipulators with uncertain dynamics and external disturbances. Different from most …
manipulators with uncertain dynamics and external disturbances. Different from most …
On neural networks application in integral sliding mode constrol
In this paper, the combined use of deep neural networks (DNNs) and integral sliding mode
(ISM) control is investigated, giving rise to novel DNN-ISM control strategies for nonlinear …
(ISM) control is investigated, giving rise to novel DNN-ISM control strategies for nonlinear …
A hierarchical energy management strategy for DC microgrid hybrid energy storage systems based on fractional-order sliding mode controller
Y Yang, Y Yang, C Xie, L Xu, Y Liu, H Shi - Journal of Energy Storage, 2024 - Elsevier
A hierarchical energy management strategy (EMS) for a fuel cell (FC)-supercapacitor (SC)‑
lithium battery hybrid energy storage system (HESS), based on a fractional-order sliding …
lithium battery hybrid energy storage system (HESS), based on a fractional-order sliding …
Robust attitude control of a flexible satellite assembled with a partially expanded coilable mast
L Fan, Y Xing, Z He, Q Zhang, Z Chen - Aerospace Science and …, 2024 - Elsevier
This paper investigates the attitude control system of a flexible satellite consisting of a rigid
main-satellite, a partially expanded coilable mast and a rigid sub-satellite. Multiple critical …
main-satellite, a partially expanded coilable mast and a rigid sub-satellite. Multiple critical …
Dynamic modeling and tracking control strategy for flexible telescopic space manipulator based on neural network compensation
D Shang, X Li, M Yin, J Liu, S Zhou - Advances in Space Research, 2023 - Elsevier
Flexible telescopic space manipulator (FTSM) is playing an increasingly important role in
assisting astronauts to accomplish space missions. The telescopic structure leads to time …
assisting astronauts to accomplish space missions. The telescopic structure leads to time …
Deep Koopman-Operator-Based Model Predictive Control for Free-Floating Space Robots with Disturbance Observer
R Mao, T Meng, K Wang, J Lei, W Wang - Aerospace Science and …, 2024 - Elsevier
This paper investigates the optimal tracking control problem of free-floating space robots in
the presence of non-ideal factors, such as model uncertainties and external disturbances. To …
the presence of non-ideal factors, such as model uncertainties and external disturbances. To …
Finite-time multistability of a multidirectional associative memory neural network with multiple fractional orders based on a generalized Gronwall inequality
Z Liu, X Xu, T Zhou - Neural Computing and Applications, 2024 - Springer
This paper addressed the finite-time multistability of a Caputo fractional order
multidirectional associative memory neural network (FMAMNN) with multiple orders, where …
multidirectional associative memory neural network (FMAMNN) with multiple orders, where …
[HTML][HTML] Predicting the solution of fractional order differential equations with Artificial Neural Network
The present paper aims to propose an approximation method of Caputo fractional operator
using discretization based on quadrature theory to minimize the error function for an Artificial …
using discretization based on quadrature theory to minimize the error function for an Artificial …
Application of Artificial Intelligence and Fuzzy Control Algorithm in Green and Low-Carbon Highway Construction
J Zhang, X Cai, S Wang, H Zhang - International Journal of Computational …, 2024 - Springer
Smart highways endorse green and low-carbon handling construction infrastructures for
promoting pollution-free environments and driving spaces. With the incorporation of artificial …
promoting pollution-free environments and driving spaces. With the incorporation of artificial …
New LMI constraint-based settling-time estimation for finite-time stability of fractional-order neural networks
S Muthu, N Gnaneswaran - Journal of Nonlinear, Complex and Data …, 2024 - degruyter.com
This study aims to analyze the finite-time stability performance of both non-delayed and
delayed fractional-order neural networks. Our primary aim is to investigate the finite-time …
delayed fractional-order neural networks. Our primary aim is to investigate the finite-time …