Results 21 to 30 of about 154,277 (267)

MPC for Stochastic Systems

, 2007
Stochastic uncertainty is present in many control engineering problems, and is also present in a wider class of applications, such as finance and sustainable development. We propose a receding horizon strategy for systems with multiplicative stochastic uncertainty in the dynamic map between plant inputs and outputs. The cost and constraints are defined
Cannon, M, Couchman, P, Kouvaritakis, B
openaire   +1 more source

A Hardware Efficient Random Number Generator for Nonuniform Distributions with Arbitrary Precision

International Journal of Reconfigurable Computing, 2012
Nonuniform random numbers are key for many technical applications, and designing efficient hardware implementations of non-uniform random number generators is a very active research field.
Christian de Schryver, Daniel Schmidt, Norbert Wehn, Elke Korn, Henning Marxen, Anton Kostiuk, Ralf Korn   +6 more
doaj   +1 more source

Synthesizing stochasticity in biochemical systems [PDF]

Proceedings of the 44th annual conference on Design automation - DAC '07, 2007
Randomness is inherent to biochemistry: at each instant, the sequence of reactions that fires is a matter of chance. Some biological systems exploit such randomness, choosing between different outcomes stochastically - in effect, hedging their bets with a portfolio of responses for different environmental conditions.
Fett, Brian, Bruck, Jehoshua, Riedel, Marc D.   +2 more
openaire   +2 more sources

Machine Learning-Based Damage Diagnosis in Floating Wind Turbines Using Vibration Signals: A Lab-Scale Study Under Different Wind Speeds and Directions

Sensors
Floating wind turbines (FWTs) operate in offshore environments under harsh and varying operating conditions, making frequent in situ monitoring dangerous for maintenance teams and costly for operators. Remote and automated diagnosis, including the stages
John S. Korolis, Dimitrios M. Bourdalos, John S. Sakellariou   +2 more
doaj   +1 more source

Times Series Averaging and Denoising from a Probabilistic Perspective on Time–Elastic Kernels

International Journal of Applied Mathematics and Computer Science, 2019
In the light of regularized dynamic time warping kernels, this paper re-considers the concept of a time elastic centroid for a set of time series. We derive a new algorithm based on a probabilistic interpretation of kernel alignment matrices.
Marteau Pierre-Francois
doaj   +1 more source

Memristor-based model of neuronal excitability and synaptic potentiation

Frontiers in Neuroscience
In this manuscript, we investigate the memristor-based implementation of neuronal ion channels in a mathematical model and an experimental circuit for a neuronal oscillator. We used a FitzHugh-Nagumo equation system describing neuronal excitability.
Ivan M. Kipelkin, Ivan M. Kipelkin, Svetlana A. Gerasimova, Alexey I. Belov, Davud V. Guseinov, Alexander V. Kruglov, Dmitry A. Serov, Max O. Talanov, Max O. Talanov, Alexey N. Mikhaylov, Alexey N. Mikhaylov, Victor B. Kazantsev, Victor B. Kazantsev   +12 more
doaj   +1 more source

Stochastic bounds for a polling system [PDF]

Annals of Operations Research, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
O.J. Boxma (Onno), M. Kelbert
openaire   +2 more sources

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

FEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

A Machine Learning Vibration-Based Methodology for Robust Detection and Severity Characterization of Gear Incipient Faults Under Variable Working Speed and Load

Machines
A machine learning (ML) methodology for the robust detection and severity characterization of incipient gear faults under variable speed and load is postulated. The methodology is trained using vibration signals from a single accelerometer mounted on the
Dimitrios M. Bourdalos, John S. Sakellariou   +1 more
doaj   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source