Results 61 to 70 of about 178,773 (337)

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

Bootstrap predictive inference for ARIMA processes [PDF]

, 2004
In this study, we propose a new bootstrap strategy to obtain prediction intervals for autoregressive integrated moving-average processes. Its main advantage over other bootstrap methods previously proposed for autoregressive integrated processes is that ...
Pascual, Lorenzo, Romo, Juan, Ruiz, Esther   +2 more
core   +2 more sources

Design and Prototyping of Topology‐Optimized, Additively Manufactured Lightweight Components for Space Robotic Systems: A Case Study

Advanced Engineering Materials, EarlyView.
The results demonstrate a simulation‐driven workflow that applies LSB topology optimization with additive manufacturing constraints to mission‐specific load cases, integrating European Cooperation for Space Standardization compliant verification and manufacturability to develop structurally efficient rover suspension components.
Stelios K. Georgantzinos, Grigorios Kostopoulos, Eleni Papadopoulou, Stefanos Voulgaris, Alexandra Tseni, Panteleimon Bakalis, Maria N. Gkara, Chara Ch. Mitropoulou, Georgios Kazakis, Alin Munteanu, Jeremi Gancet, Nikos D. Lagaros   +11 more
wiley   +1 more source

Stability of a nonlinear Moving Horizon Estimator with pre-estimation [PDF]

2014 American Control Conference, 2014
In this paper, a Moving Horizon Estimator with pre-estimation (MHE-PE) is proposed for discrete-time nonlinear systems under bounded noise. While the classical Moving Horizon Estimator (MHE) compensates for model errors by estimating the process noise sequence over the horizon via optimization, the MHE-PE does it using an auxiliary estimator.
Suwantong, Rata, Bertrand, Sylvain, Dumur, Didier, Beauvois, Dominique   +3 more
openaire   +2 more sources

Synchrotron Radiation for Quantum Technology

Advanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader, Sakura Pascarelli, Klaus Attenkofer, Anna A. Makarova, Karsten Holldack, Kai Rossnagel, Kristiaan Temst, George Kourousias, Stefano Carretta, Caterina Biscari, Helmut Dosch   +10 more
wiley   +1 more source

Photoactivation of NV Centers in Diamond via Continuous Wave Laser Illumination of Shallow As‐Implanted Nitrogen

Advanced Functional Materials, EarlyView.
This study demonstrates an alternative method of creating charge‐stable negatively charged nitrogen vacancy (NV−) centers close to the diamond surface without high‐temperature annealing. By illuminating nitrogen‐implanted regions with a continuous‐wave 405 nm laser, NV− centers are induced, exhibiting electron spin coherence properties suitable for ...
Jens Fuhrmann, Christoph Findler, Michael Olney‐Fraser, Lev Kazak, Fedor Jelezko   +4 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Moving Horizon Estimator for Space Vehicle Dynamics with Measurement Noise in Close Propinquity Operation

Franklin Open
Analyzing the impact of measurement noise on space vehicle dynamics is vital for understanding its implications in proximity missions. Despite researcher's focus on addressing position and velocity challenges during cooperative operations, few studies ...
Ibrahim Olawale Muritala, Muhammed B. Mu'azu, Ahmed T. Salawudeen, Imeh J. Umoh, Habeeb Bello-Salau, Zaharuddeen Haruna, Salisu Mohammed   +6 more
doaj   +1 more source

Nonlinear Modeling and Inferential Multi-Model Predictive Control of a Pulverizing System in a Coal-Fired Power Plant Based on Moving Horizon Estimation

Energies, 2018
Fuel preparation is the control bottleneck in coal-fired power plants due to the unmeasurable nature or inaccurate measurement of key controlled variables.
Xiufan Liang, Yiguo Li, Xiao Wu, Jiong Shen   +3 more
doaj   +1 more source

Identification and Speed Estimation of a Moving Object in an Indoor Application Based on Visible Light Sensing of Retroreflective Foils

Micromachines, 2021
Identification and sensing are two of the main tasks a wireless sensor node has to perform in an Internet of Things (IoT) environment. Placing active powered nodes on objects is the most usual approach for the fulfillment of these functions.
Andreas Peter Weiss, Franz Peter Wenzl
doaj   +1 more source