Results 101 to 110 of about 977,934 (315)
Changes in Predictive Task Switching with Age and with Cognitive Load
Predictive control of movement is more efficient than feedback-based control, and is an important skill in everyday life. We tested whether the ability to predictively control movements of the upper arm is affected by age and by cognitive load.
Shelly Levy-Tzedek, Shelly Levy-Tzedek
doaj +1 more source
This paper presents a new approach to algorithmic composition, called predictive controlled music (PCM), which combines model predictive control (MPC) with music generation. PCM uses dynamic models to predict and optimize the music generation process, where musical notes are computed in a manner similar to an MPC problem by optimizing a performance ...
openaire +2 more sources
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
Wiener modelling and model predictive control for wastewater applications [PDF]
The research presented in this paper aims to demonstrate the application of predictive control to an integrated wastewater system with the use of the wiener modeling approach.
Giovanini, L. +3 more
core
Multivariable Repetitive-predictive Controllers using Frequency Decomposition [PDF]
Repetitive control is a methodology for the tracking of a periodic reference signal. This paper develops a new approach to repetitive control systems design using receding horizon control with frequency decomposition of the reference signal.
Rogers, E +7 more
core +1 more source
This paper proposes a probabilistic power pinch analysis (PoPA) approach based on Monte–Carlo simulation (MCS) for energy management of hybrid energy systems uncertainty.
Nyong-Bassey Bassey Etim +7 more
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
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 +4 more
wiley +1 more source
Nonlinear Model Predictive Path-Following Control [PDF]
In the frame of this work, the problem of following parametrized refer- ence paths via nonlinear model predictive control is considered. It is shown how the use of parametrized paths introduces new degrees of freedom into the con- troller design ...
Findeisen, Rolf, Faulwasser, Timm
core +1 more source
State estimation and the equivalence of the regulatory and supervisory predictive control law [PDF]
This paper discusses the effect of state estimation on the equivalence between the regulatory and supervisory predictive control strategies for linear time invariant systems. The analysis presented here shows that in the presence of model-system mismatch,
Grimble, M.J. +5 more
core +1 more source
Protein aggregates threaten proteostasis and cell health. In human cells, Hsp70–J‐domain protein‐based disaggregases remove aggregates, but how they assemble remains unclear. Our biochemical findings show that DNAJA2‐ and DNAJB1‐containing disaggregase scaffolds enhance luciferase aggregate targeting, and that Hsp70 recruitment by both J‐domain ...
Anna Szlachcic, Nadinath B. Nillegoda
wiley +1 more source

