Results 41 to 50 of about 892,161 (297)

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Robust H∞ feedback control for uncertain stochastic delayed genetic regulatory networks with additive and multiplicative noise [PDF]

, 2010
The official published version can found at the link below.Noises are ubiquitous in genetic regulatory networks (GRNs). Gene regulation is inherently a stochastic process because of intrinsic and extrinsic noises that cause kinetic parameter variations ...
Min Du, Wang, Z, PAN, Wei, Du, M., Li, Y., Yurong Li, Pan, W, Gao, H, Zidong Wang, Li, Y, Wei Pan, Du, M, Wang, Z., Gao, H., Huijun Gao   +14 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

The method of multi objective synthesis of stochastic robust control by multimass electromechanical systems under non-gausian random external disturbances

Electrical engineering & Electromechanics, 2022
Aim. Development of the method of multi objective synthesis of stochastic robust control by multimass electromechanical systems to satisfy various requirements for the operation of such systems in various modes under non-gausian random external ...
B. I. Kuznetsov, T. B. Nikitina, I. V. Bovdui, O. V. Voloshko, V. V. Kolomiets, B. B. Kobylianskyi   +5 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Identification of a Stochastic Dynamic Model for Aircraft Flight Attitude Based on Measured Data

International Journal of Aerospace Engineering, 2023
Stochastic disturbances are everywhere. The influence of stochastic factors on the modeling and simulation of aircraft flight dynamics should be considered.
Haiquan Li, Xiaoqian Chen, Jiatu Zhang, Bochen Wang, Jiahui Peng, Liang Wang   +5 more
doaj   +1 more source

Filtering for a Class of Quantum Systems With Classical Stochastic Disturbances

IEEE Transactions on Control Systems Technology, 2019
We present filtering equations for a class of hybrid quantum-classical systems where a quantum optical cavity system is continuously disturbed by a classical linear stochastic process. Another quantum cavity system is employed to describe the classical stochastic process as an analog.
Qi Yu 0006, Daoyi Dong, Ian R. Petersen, Muhammad F. Emzir, Qing Gao 0001   +4 more
openaire   +4 more sources

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

Hybrid Filtering for a Class of Nonlinear Quantum Systems Subject to Classical Stochastic Disturbances

, 2022
A hybrid quantum-classical filtering problem, where a qubit system is disturbed by a classical stochastic process, is investigated. The strategy is to model the classical disturbance by using an optical cavity.
Petersen, Ian R, Dong, Daoyi, Petersen, Ian, Yu, Qi   +3 more
core   +1 more source

Conformational Switching of Proteins on Material Surfaces Enabled by Peptide‐Oriented Adsorption

Advanced Functional Materials, EarlyView.
Responsive biointerfaces could be achieved using conformationally responsive proteins; however, their interconversion can be lost upon surface adsorption. Herein, we demonstrate that the incorporation a Au binding peptide into calmodulin allows for binding control on Au wherein the protein retains conformational switching. This capability was confirmed
Sakthirupini Ramamurthy, Kyle B. Meerbott, Lorenzo Travaglini, Garima S. Dobhal, Artur Sawicki, Marc R. Knecht, Tiffany R. Walsh, Dominic J. Glover   +7 more
wiley   +1 more source