Results 101 to 110 of about 135,715 (268)

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

Creating a Real‐Time Capable Surrogate Model of a Wind Turbine Using Machine Learning

open access: yesWind Energy
Multibody simulation (MBS) is an established method for modeling wind turbines for purposes such as load calculation. While capable of modeling wind turbines at high levels of detail, large MBS models can be computationally expensive.
Stefan Witter   +3 more
doaj   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva   +4 more
wiley   +1 more source

Investigation of flow field characteristics around a novel high-efficiency tandem dual-rotor wind turbine under different rotor spacings

open access: yesFrontiers in Energy Research
IntroductionTandem dual-rotor wind turbines achieve efficient wind energy capture through aerodynamic coupling between upstream and downstream rotors.
Xinkai Li   +8 more
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Illuminating New Frontiers: Exploring the Photosensitizing Potential of Passiflora Species in Combating Methicillin‐Resistant Staphylococcus aureus (MRSA) and Their Infection in Senescent Mice

open access: yesAdvanced Biology, EarlyView.
This study investigates the photosensitizing potential of Passiflora cincinnata in Antimicrobial Photodynamic Therapy (aPDT) against skin infection caused by Methicillin‐resistant Staphylococcus aureus (MRSA) in a senescent murine model. The P. cincinnata exhibits antimicrobial activity, with reduced bacterial load, lower leukocyte infiltration, and ...
Caroline Vieira Gonçalves   +14 more
wiley   +1 more source

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