Results 61 to 70 of about 2,783 (186)

A review of the supercritical state of eruption‐fed volcanic density currents in subaerial and subaqueous settings

Sedimentology, EarlyView.
ABSTRACT Subaerial Pyroclastic Density Currents (PDCs) and Subaqueous Eruption‐Fed Density Currents (SEFDCs) produced during volcanic eruptions can present major hazards to surrounding communities and ecosystems. The bedforms deposited by these volcanic density currents can provide insights into the nature of transport and depositional processes, which
Shannon E. Frey, Martin Jutzeler, Rebecca J. Carey   +2 more
wiley   +1 more source

A Data‐Driven Control Framework for HIV Infection Using Projection Recurrent Neural Networks and Singular Value Analysis

Engineering Reports, Volume 8, Issue 6, June 2026.
The study introduces a model‐free data‐driven control strategy combining sliding mode control with a projection recurrent neural network to regulate HIV dynamics. The method eliminates dependence on mathematical models, ensures constrained optimal drug dosing, and robustly drives HIV states to a healthy equilibrium despite uncertainty. ABSTRACT In this
Ashkan Zarghami, Mehdi Siahi, Fereidoun Nowshiravan Rahatabad   +2 more
wiley   +1 more source

Dynamically Positioned Ship Steering Making Use of Backstepping Method and Artificial Neural Networks

Polish Maritime Research, 2018
The article discusses the issue of designing a dynamic ship positioning system making use of the adaptive vectorial backstepping method and RBF type artificial neural networks. In the article, the backstepping controller is used to determine control laws
Witkowska Anna, Rynkiewicz Tacjana Niksa
doaj   +1 more source

Disturbance‐Resilient Voltage/Power‐Quality Management for Islanded Inverters Using Self‐Tuning Type‐3 Fuzzy Controller

Energy Science &Engineering, Volume 14, Issue 6, Page 2816-2838, June 2026.
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian, Jun‐Bo Mao, Nurkhat Zhakiyev, Didar Yedilkhan, Ruslan Omirgaliyev, Du Changdong, Amirhossein Khosravi Sarvenoee, Ardashir Mohammadzadeh   +7 more
wiley   +1 more source

Quadrotor trajectory tracking based on backstepping control and radial basis function neural networks

Results in Control and Optimization
In this paper we introduce a novel method for solving the trajectory tracking problem for a quadrotor system based on backstepping control and radial basis function (RBF) neural networks.
Aristotelis Kapnopoulos, Charalampos Kazakidis, Alex Alexandridis   +2 more
doaj   +1 more source

Adaptive Backstepping Sliding Mode Control of Air-Breathing Hypersonic Vehicles

International Journal of Aerospace Engineering, 2020
In this paper, a controller combining backstepping and adaptive supertwisting sliding mode control method is proposed for altitude and velocity tracking control of air-breathing hypersonic vehicles (AHVs). Firstly, the nonlinear longitudinal model of AHV
Shuo Wang, Ju Jiang, Chaojun Yu
doaj   +1 more source

TD3 Deep Reinforcement Learning Control Approach for a DC‐DC Multiport Converter Used in Low‐Power EV Applications

IET Smart Energy Systems, Volume 2, Issue 2, Page 158-169, June 2026.
A TD3‐based deep reinforcement learning controller is developed for a multiport converter in low‐power EV applications. The data‐driven, model‐free strategy improves dynamic performance under constant power load destabilisations and demonstrates advanced intelligent control suited for next‐generation smart and integrated energy systems.
Amirhossein Hosseini, Saeed Hosseinnataj, Ali Arzani   +2 more
wiley   +1 more source

Backstepping Control of Drone [PDF]

The 1st International Conference on Computational Engineering and Intelligent Systems, 2022
Ali Saibi, Razika Boushaki, Hadjira Belaidi   +2 more
openaire   +1 more source

Development of a Dual-Cylinder Penetration Mechanism Controller for Deep-Sea Seabed Static Cone Penetration Equipment

IEEE Access
The penetration mechanism is the core actuator of deep-sea static cone penetration test equipment, enabling the probe and rods to advance into seabed sediment at a constant rate of 2 cm/s during in situ surveys.
Jiawang Chen, Kaichuang Wang, Shimin Wang, Xiaoxiao Liu, Zhonghui Zhou, Changbin Ren, Ziqiang Ren   +6 more
doaj   +1 more source

Ultimate bounded observer-based control of electrical vehicle driven by DC motor system with unmatched load torque

Advances in Mechanical Engineering
The unmatched perturbation of load torque is the essential problem in the Electrical Vehicle (EV) based DC motor which requires deep control concern for solution.
Akram H Hameed, Shibly A Al-Samarraie, Amjad J Humaidi   +2 more
doaj   +1 more source