Results 71 to 80 of about 484,891 (284)

A Comparison of Balanced Truncation Methods for Closed Loop Systems [PDF]

open access: yes, 2009
Real-time control of a physical system necessitates controllers that are low order. In this paper, we compare two balanced truncation methods as a means of designing low order compensators for partial differential equation (PDE) systems. The first method
Belinda A. Batten   +3 more
core   +1 more source

A Forecast Test for Reducing Dynamical Dimensionality of Model Emulators

open access: yesJournal of Advances in Modeling Earth Systems
The climate system can be numerically represented by a set of physically based dynamical equations whose solution requires substantial computational resources.
Tongtong Xu   +3 more
doaj   +1 more source

Structure-Preserving Low-Rank Model Reduction for Second-Order Time-Delay Systems

open access: yesMathematics
This paper introduces two model order-reduction techniques for second-order time-delay systems. The first method involves converting the second-order system into a first-order form, along with a set of related structure-preserving algorithms.
Man Tang, Zhi-Hua Xiao, Umair Zulfiqar
doaj   +1 more source

Second-Order Model Reduction Based on Gramians

open access: yesJournal of Control Science and Engineering, 2012
Some new and simple Gramian-based model order reduction algorithms are presented on second-order linear dynamical systems, namely, SVD methods. Compared to existing Gramian-based algorithms, that is, balanced truncation methods, they are competitive and ...
Cong Teng
doaj   +1 more source

A Balanced Truncation Primer

open access: yes, 2001
Balanced truncation, a technique from robust control theory, is a systematic method for producing simple approximate models of complex linear systems. This technique may have significant applications in physics, particularly in the study of large classical and quantum systems.
openaire   +2 more sources

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin   +11 more
wiley   +1 more source

Balanced truncation model reduction for semidiscretized Stokes equation [PDF]

open access: yes, 2006
We discuss model reduction of linear continuous-time descriptor systems that arise in the control of semidiscretized Stokes equations. Balanced truncation model reduction methods for descriptor systems are presented.
Stykel, Tatjana
core   +1 more source

Structured Model Order Reduction of System-Level Power Delivery Networks

open access: yesIEEE Access
This paper proposes a comprehensive model order reduction framework to enable fast power integrity verification at the system level. This approach is developed to compress models of complete power delivery networks of high-end multiprocessor systems ...
Antonio Carlucci   +3 more
doaj   +1 more source

Clinical Impact of NOTCH3 Variant Location After First Stroke in CADASIL

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Despite its monogenic origin, Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy exhibits marked variability in clinical expression and severity. Variants in the NOTCH3 gene, within epidermal growth factor‐like repeat domains 1–6 or 7–34, are known to influence disease onset, but their impact ...
Léa Aguilhon   +5 more
wiley   +1 more source

New Numerical Software for Model and Controller Reduction [PDF]

open access: yes, 2002
In this report we describe the recently developed model and controller reduction software for SLICOT within Task II.B of the NICONET Project. A powerful collection of user callable Fortran 77 routines has been implemented based on the latest algorithmic ...
Varga, Andras
core  

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