Results 121 to 130 of about 2,731,647 (316)

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

International 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, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Obtention of solar cell parameters, through convergence of iterative cycles. Part 1: Theoretical analysis and cycles proposal

, 2022
Victor-Tapio Rangel-Kuoppa
openalex   +1 more source

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

International 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, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Designing injectable dermal matrix hydrogel combined with silver nanoparticles for methicillin-resistant Staphylococcus aureus infected wounds healing

Nano Convergence
Hydrogel-based delivery systems have now emerged as a pivotal platform for addressing chronic tissue defects, leveraging their innate capacity to suppress pathogenic infections and facilitate expedited tissue regeneration.
Sunfang Chen, Jun Yao, Shicheng Huo, Chennan Xu, Ruting Yang, Danhua Tao, Bin Fang, Gaoxiang Ma, Zaihua Zhu, Ye Zhang, JingJing Guo   +10 more
doaj   +1 more source

Nonlocal Control in the Conduction Coefficients: Well-Posedness and Convergence to the Local Limit [PDF]

, 2020
Anton Evgrafov, José C. Bellido
openalex   +1 more source

Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley   +1 more source

Perovskite nanocomposites: synthesis, properties, and applications from renewable energy to optoelectronics

Nano Convergence
The oxide and halide perovskite materials with a ABX3 structure exhibit a number of excellent properties, including a high dielectric constant, electrochemical properties, a wide band gap, and a large absorption coefficient.
Yunseok Choi, Sangmoon Han, Bo-In Park, Zhihao Xu, Qingge Huang, Sanggeun Bae, Justin S. Kim, Sun Ok Kim, Yuan Meng, Seung‐Il Kim, Ji‐Yun Moon, Ilpyo Roh, Ji-Won Park, Sang‑Hoon Bae   +13 more
doaj   +1 more source

Non-linear relativistic contributions to the cosmological weak-lensing convergence [PDF]

, 2014
Sambatra Andrianomena, Chris Clarkson, Prina Patel, Obinna Umeh, Jean-Philippe Uzan, Sambatra Andrianomena, Chris Clarkson, Prina Patel, Obinna Umeh, Jean-Philippe Uzan   +9 more
openalex   +1 more source

New convergence definitions for double sequences in g-metric spaces [PDF]

, 2023
Mehmet Gürdal, Ömer Kı̇şı̇, Saime Kolancı   +2 more
openalex   +1 more source

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

International 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