Results 51 to 60 of about 19,448,095 (300)

On the Control of Distributed Parameter Systems using a Multidimensional Systems Setting

open access: yes, 2008
The unique characteristic of a repetitive process is a series of sweeps, termed passes, through a set of dynamics defined over a finite duration with resetting before the start of the each new one.
Rogers, E   +4 more
core   +1 more source

Optimal Fault-Tolerant Control for Dynamic Systems with Distributed Fault Parameter Uncertainty Domains

open access: yesAin Shams Engineering Journal
This paper presents an optimal fault-tolerant control (FTC) method for dynamic systems with distributed fault parameter uncertainty. According to the distributed characteristic of the fault parameter uncertainty domain and insufficient fault information,
Dan Du, Zetao Li
doaj   +1 more source

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

open access: yesFEBS 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   +4 more
wiley   +1 more source

A New Type of Distributed Parameter Control Systems: Two-Point Boundary Value Problems for Infinite-Dimensional Dynamical Systems

open access: yesJournal of Applied Mathematics, 2013
This survey note describes a new type of distributed parameter control systems—the two-point boundary value problems for infinite-dimensional dynamical systems, particularly, for hyperbolic systems of partial differential equations of second order, some ...
De-Xing Kong, Fa Wu
doaj   +1 more source

Decentralized event‐triggered robust MPC for large‐scale networked Lipchitz non‐linear control systems

open access: yesIET Control Theory & Applications, 2021
This article examines a decentralized event‐triggered robust model predictive control (MPC) for a class of networked large‐scale non‐linear Lipchitz systems. It is assumed that the subsystems are geographically distributed and the connections can be made
Saeid GHorbani   +2 more
doaj   +1 more source

D-Type Iterative Learning Control for Open Container Motion System With Sloshing Constraints

open access: yesIEEE Access, 2021
In this paper, the iterative learning control (ILC) problem is investigated for the motion system of an open container with sloshing constraints in industrial fluid packaging.
Guang Li, Li Hou, Yong Lu
doaj   +1 more source

Control of distributed parameter systems

open access: yes, 2023
Die vorliegende Arbeit beschäftigt sich mit der Regelung von Systemen mit verteilten Parametern. Im Gegensatz zu Systemen mit konzentrierten Parametern, deren Zustandsvektor nur von der Zeit abhängt, handelt es sich hierbei um Systeme mit einem unendlichdimensionalen Zustandsraum, d.h. der Systemzustand ist eine Funktion der Zeit und weiteren Variablen,
openaire   +2 more sources

Investigating transcription factor dynamics in health and disease using FRAP

open access: yesFEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj   +3 more
wiley   +1 more source

H∞ and L2–L∞ filtering for two-dimensional linear parameter-varying systems [PDF]

open access: yes, 2007
This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Wiley-BlackwellIn this paper, the H∞ and l2–l∞ filtering problem is investigated for two-dimensional (2-D) discrete-time ...
Wang, Z, Wu, L, Gao, H, Wang, C
core   +1 more source

Distributed Stochastic Model Predictive Control for a Microscopic Interactive Traffic Model [PDF]

open access: yes, 2023
Stochastic Model Predictive Control (SMPC) has attracted increasing attention for autonomous driving in recent years, since it enables collision-free maneuvers and trajectory planning and can deal with uncertainties in a non-conservative way.
Leibold, Marion   +12 more
core   +2 more sources

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