Results 61 to 70 of about 2,788,570 (251)

Adaptive polynomial Kalman filter for nonlinear state estimation in modified AR time series with fixed coefficients

IET Control Theory & Applications
This article presents a novel approach for adaptive nonlinear state estimation in a modified autoregressive time series with fixed coefficients, leveraging an adaptive polynomial Kalman filter (APKF).
Dileep Sivaraman, Songpol Ongwattanakul, Branesh M. Pillai, Jackrit Suthakorn   +3 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Estimation of Lithium-Ion Battery State of Charge: A Comparative Study of Four Variants of Kalman Filters Based on Equivalent Circuit Model

Emitor: Jurnal Teknik Elektro
State of Charge (SoC) adalah parameter kritis dalam Sistem Manajemen Baterai (BMS) lithium-ion, karena mempengaruhi keselamatan, kerahasiaan, dan efisiensi operasional.
Axiosa Nalendra Haidar Putra, Arya Kusumawardana, Heri Wijayanto, Satrio Prakoso   +3 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Temperature-Adaptive Multi-Sensor Fusion for High-Speed Guided Missiles Under Aerodynamic Heating

IEEE Access
High-speed guided missiles flying at Mach 2.5 or above experience rapid infrared dome temperature rise due to aerodynamic heating, which degrades MWIR (Mid-Wave Infrared) seeker measurement accuracy and may cause tracking errors during terminal guidance.
Dae-Han Lee, Sung-Gil Ko
doaj   +1 more source

Adaptive Black-Box Equivalent Modeling of Multiple Marine Micro-Grids Interconnected Through Subsea Cables

IEEE Access, 2018
The interconnection of different kinds of marine micro-grids (MMGs) with plug-and-play functionality is becoming popular, and a combined model is necessary to achieve the control functionalities and operation of the system constitute of several MMGs ...
Anan Zhang, Ming Cheng, Wei Yang, Qian Li, Janaka Ekanayake   +4 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

On Adaptive Estimation in Nonstationary ARMA Models with GARCH Errors, [PDF]

This paper considers adaptive estimation in nonstationary autoregressive moving average models with the noise sequence satisfying a generalised autoregressive conditional heteroscedastic process.
Michael McAleer, Shiqing Ling
core  

Adaptive Observer Design with Fixed-Time Convergence, Online Disturbance Learning, and Low-Conservatism Linear Matrix Inequalities for Time-Varying Perturbed Systems

Mathematical and Computational Applications
This paper proposes a finite-time adaptive observer with online disturbance learning for time-varying disturbed systems. By integrating parameter-dependent Lyapunov functions and slack matrix techniques, the method eliminates conservative static ...
Essia Ben Alaia, Slim Dhahri, Omar Naifar   +2 more
doaj   +1 more source

Predicting the Affordable Rate in Interference-Limited Cellular Systems Using Higher-Order Markov Models

IEEE Access, 2016
In cellular broadband access systems, such as 3GPP long-term evolution, the user equipment (UE) feeds back a quantized rate metric to the base station (eNodeB), in order to perform rate adaptation.
Saishankar Katri Pulliyakode, Sheetal Kalyani, Lajos Hanzo, K. Giridhar   +3 more
doaj   +1 more source