Results 41 to 50 of about 1,062,922 (131)

Data‐Driven Stabilization of Linear Discrete‐Time Delay Systems With Noisy Data

International Journal of Robust and Nonlinear Control, Volume 36, Issue 3, Page 1217-1227, February 2026.
ABSTRACT This paper is concerned with the stabilization of linear discrete‐time delay systems with unknown system matrices. The objective is to design stabilizing controllers using input and state measurements collected from experiments, which are affected by process disturbances.
Xian‐Ming Zhang, Qing‐Long Han, Xiaohua Ge, Bao‐Lin Zhang   +3 more
wiley   +1 more source

Network Coding and Distributed Compression over Large Networks: Some Basic Principles [PDF]

, 2012
The fields of Network Coding and Distributed Compression have focused primarily on finding the capacity for families of problems defined by either a broad class of networks topologies (e.g., directed, acyclic networks) under a narrow class of demands (e ...
Bakshi, Mayank
core   +1 more source

Joint Blind Identification of Cyclic Codes and Synchronization Scramblers From Synchronous Scrambling Sequences of Cyclic Codes Based on Soft Decision Information

IET Communications, Volume 20, Issue 1, January/December 2026.
A communication model for collaborative and non‐collaborative scenarios is proposed, where the error correction code used by the transmitter is a cyclic code and the scrambler used is a synchronous scrambler. The contents of the dashed boxes are the tasks of the non‐collaborative receiver and our research targets the contents of the red boxes, that is,
Yong Ding, Lei Ye, Kun Han, Peng Wang, Li Yu, Jialong Zhan   +5 more
wiley   +1 more source

Blind Identification of Self‐Synchronous Scramblers for Reed–Solomon Codes in Non‐Cooperative Communications Using Soft‐Decision Information

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper addresses the blind identification of the feedback polynomial for a self‐synchronous scrambler applied to Reed–Solomon codes in non‐cooperative communications. We propose a novel fault‐tolerant method that leverages soft‐decision information to construct an average parity check confidence metric, derives its optimal detection threshold and ...
Yong Ding, Lei Ye, Kun Han, Peng Wang, Li Yu, Jialong Zhang   +5 more
wiley   +1 more source

Machine Learning‐Based Radio Environment Map Estimation for Indoor Visible Light Communication

IET Optoelectronics, Volume 20, Issue 1, January/December 2026.
This study proposes a methodology that first evaluates a data driven REM approach for an indoor VLC system using simulated data and then benchmarks it against learning based and interpolation methods using experimental measurements. It demonstrates the practical advantage of data‐driven REM approaches, which can achieve comparable or superior ...
Helena Serpi, Christina (Tanya) Politi
wiley   +1 more source

Cybersecure Synchronisation of Entangled Quantum Neural Networks With Reconfigurable Intelligent Surface and Quantum Key Distribution for 6G Holographic Communications

IET Quantum Communication, Volume 7, Issue 1, January/December 2026.
A cybersecurity‐driven hybrid quantum–classical architecture is introduced for 6G holographic communications that synchronises entangled quantum neural networks (QNNs) using GHZ entanglement, RIS‐assisted midhaul control and QKD‐secured orchestration.
Raad S. Alhumaima, Yassir Al‐Karawi, Hamed Al‐Raweshidy   +2 more
wiley   +1 more source

Ethical Guardrail Bandit Pruning (EGBP): A Fairness‐Constrained Reinforcement Learning System for Equitable Governance of Distributed Bioenergy Grids

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
Distributed bioenergy networks face an unresolved equity challenge: AI dispatch optimisers under‐serve peripheral communities while maximising aggregate throughput. Ethical guardrail bandit pruning enforces fairness and energy sustainability via a two‐timescale primal‐dual guardrail, achieving a 76.6% Gini reduction and 28.5% FLOPs‐proxy reduction ...
Ntebogang Dinah Moroke
wiley   +1 more source

Characterisation and Classification of Resident Space Objects Using Radar Networks

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper describes a simulated environment for generating Inverse Synthetic Aperture Radar (ISAR) images and interferometric point clouds using a three‐receiver radar configuration, along with the creation of extensive datasets to train and evaluate deep learning models under varying Signal‐to‐Noise Ratio (SNR) conditions. Findings show that modified
Manjunath Thindlu Rudrappa, Marcus Albrecht, Peter Knott   +2 more
wiley   +1 more source

Machine Learning Approaches in Soft Matter Molecular Simulation and Materials Characterization: Challenges and Perspectives

ChemPlusChem, Volume 90, Issue 12, December 10, 2025.
Rigorous frameworks construction toward the development of science‐based machine learning (ML) schemes: invocation of statistical learning and data‐driven methods within the diverse materials science fields, from materials characterization to molecular modeling utilizing domain knowledge to facilitate fundamental understanding and scientific discovery.
Niki Vergadou, Vassilios Constantoudis
wiley   +1 more source

The AVC with noiseless feedback

, 2000
Ahlswede R, Cai N. The AVC with noiseless feedback. In: Althöfer I, Cai N, Dueck G, et al., eds. Numbers, Information and Complexity.
Althöfer, Ingo, Dueck, Gunter, Cai, Ning, Sárközy, Andras, Khachatrian, Levon H., Zhang, Zhen, Pinsker, Marcus, Ahlswede, Rudolf, Wegener, Ingo   +8 more
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