Results 41 to 50 of about 3,048,635 (228)

An ADRC Approach for a Class of Nonlinear Hybrid Stochastic Systems with Fractional Noise

Mathematics
This paper extends the active disturbance rejection control (ADRC) approach to a class of nonlinear hybrid systems with uncertain fractional disturbances and unknown parameters, aiming to investigate the applicability of the ADRC approach in the presence
Fan Liang, Wenyi Pei
doaj   +1 more source

Small RNA pathways in mammalian oocytes

FEBS Open Bio, EarlyView.
Three distinct small RNA pathways operate in mammalian oocytes: RNAi interference (RNAi), the microRNA (miRNA) pathway, and the PIWI‐associated RNA (piRNA) pathway. These pathways use small RNAs to guide sequence‐specific repression and contribute to oocyte biology by targeting genes and mobile elements or appear insignificant since different ...
Petr Svoboda, Josef Pasulka
wiley   +1 more source

Robust H∞ finite-horizon filtering with randomly occurred nonlinearities and quantization effects [PDF]

, 2010
The official published version of this article can be found at the link below.In this paper, the robust H∞ finite-horizon filtering problem is investigated for discrete time-varying stochastic systems with polytopic uncertainties, randomly occurred ...
Zidong Wang, Wang, Z, Huisheng Shu, Shu, H, Wei, G, Bo Shen, Guoliang Wei, Shen, B   +7 more
core   +1 more source

Moment Analysis for Some Nonlinear (Inverse Trigonometric) SDE Using Itô Calculus: Case Studies in Gene Regulation and Robotic Navigation

Al-Rafidain Journal of Computer Sciences and Mathematics
This paper explain the application of Ito-integral  formula to finding   the moments for nonlinear stochastic differential equations (SDEs) with coefficients (inverse trigonometric function) such as ,  and   , this method  naturally constrains state ...
Abdulghafoor Salim, Arif Oudah
doaj   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

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

Extended Minimal Atomicity through Nondifferentiability: A Mathematical-Physical Approach

Advances in Mathematical Physics, 2019
The mathematical concept of minimal atomicity is extended to fractal minimal atomicity, based on the nondifferentiability of the motion curves of physical system entities on a fractal manifold.
Gabriel Gavriluţ, Alina Gavriluţ, Maricel Agop   +2 more
doaj   +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

First-principles prediction of shock Hugoniot curves of boron, aluminum, and silicon from stochastic density functional theory

Matter and Radiation at Extremes
By adopting stochastic density functional theory (SDFT) and mixed stochastic–deterministic density functional theory (MDFT) methods, we perform first-principles calculations to predict the shock Hugoniot curves of boron (pressure P = 7.9 × 103–1.6 × 106 ...
Tao Chen, Qianrui Liu, Chang Gao, Mohan Chen   +3 more
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source