Results 91 to 100 of about 97,988 (291)

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

Analysis of Energy Intensity and Generic Energy Efficiency Metrics in Communication Networks: Limits, Practical Applications, and Case Studies

IEEE Access
Energy intensity is the ratio between energy consumed and data volume over a certain time frame. It is frequently used as a metric to indicate the energy efficiency of communication networks and data centres for the provision of digital services, and as ...
Tobias Hossfeld, Stefan Wunderer, Frank Loh, Daniel Schien   +3 more
doaj   +1 more source

On Effective Utilization of Computer‐Mediated Communication Technology in Network‐Based Foreign Language Teaching [PDF]

, 2022
Liping Jiang
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

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

Improving TSN Simulation Accuracy in OMNeT++: A Hardware-Aligned Approach

IEEE Access
Time-Sensitive Networking (TSN) encompasses standards to facilitate near-deterministic performance in wired networks and the integration of TSN with modern wireless systems, such as Fifth Generation (5G) systems, is intensely pursued.
How-Hang Liu, Stefan Senk, Marian Ulbricht, Hosein K. Nazari, Tobias Scheinert, Martin Reisslein, Giang T. Nguyen, Frank H. P. Fitzek   +7 more
doaj   +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

Liquid Crystal Elastomers Under Confinement: A Review of Template‐Based Fabrication and Applications

Advanced Engineering Materials, EarlyView.
Template‐assisted confinement offers powerful ways to control the alignment, structure, and function of liquid crystal elastomers. This review highlights several templating strategies and details how geometry and interfaces shape material responses.
Meng Zhang, Le Yang, Xinyi Ding, James Phillip Scarbrough, Tushar Narayan Singh, Yuxing Yao, Shucong Li, Xiaoguang Wang   +7 more
wiley   +1 more source

MLcXR+: Multilevel Semantic Compression for 3D Immersion Over 5G Networks

IEEE Access
Immersive mixed reality in industrial applications requires low latencies; however, systems are commonly limited by the large amounts of generated data and the subsequent high traffic loads on the 5G network.
Sifat Rezwan, Huanzhuo Wu, Juan A. Cabrera, Patrick Seeling, Martin Reisslein, Frank H. P. Fitzek   +5 more
doaj   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source