Results 31 to 40 of about 3,167,714 (312)
CardiacModelling/model-reduction-manifold-boundaries: Published version
, 2022 Scripts and data for ion channel model reduction using the manifold boundary approximation method (MBAM) and parameter inference using Myokit and PINTS modules in Python.
Gary Mirams +2 more
core +1 more source
FUZZY CONTROLLER OF MODEL REDUCTION DISTILLATION COLUMN WITH MINIMAL RULES [PDF]
Applied Computer Science, 2020 In this paper the control of a binary distillation column is described. This con-trol is done with fuzzy logic, one with PI- like fuzzy controller and the other with modified PI fuzzy controller, using the minimal rules for fuzzy pro-cessing.
Nasir ALAWAD, Afaf ALSEADY
doaj +1 more source
Model and Controller Order Reduction for Infinite Dimensional Systems [PDF]
ITB Journal of Engineering Science, 2010 This paper presents a reduced order model problem using reciprocal transformation and balanced truncation followed by low order controller design of infinite dimensional systems.
Fatmawati +3 more
doaj +1 more source
Model reduction of weakly nonlinear systems [PDF]
, 2009 In general, model reduction techniques fall into two categories — moment —matching and Krylov techniques and balancing techniques. The present contribution is concerned with the former.
Grahovski, Georgi G +4 more
core +1 more source
Acoustics, 2023 Computing backscattering of harmonic acoustic waves from underwater elastic targets of arbitrary shape is a problem of considerable practical significance.
Petr Krysl, Ahmad T. Abawi
doaj +1 more source
A Unified Software Framework for Empirical Gramians [PDF]
, 2013 A common approach in model reduction is balanced truncation, which is based on Gramian matrices classifying certain attributes of states or parameters of a given dynamic system.
Ohlberger, Mario +3 more
core +1 more source
Some Incipient Techniques For Improving Efficiency in Computational Mechanics [PDF]
, 2008 This contribution presents a review of different techniques available for alleviating simulation cost in computational mechanics. The first one is based on a separated representation of the unknown fields; the second one uses a model reduction based on ...
CHINESTA SORIA, Francisco +4 more
core +1 more source
Paper Machine Modeling at Norske Skog Saugbrugs: A Mechanistic Approach [PDF]
Modeling, Identification and Control, 2002 In this paper a mechanistic model of a paper machine is presented. The model is developed as a foundation for the control of three selected variables; the basis weight, the paper ash content, and the white water total concentration (or wire tray total ...
Tor A. Hauge, Bernt Lie
doaj +1 more source
, 2021 This software contains the optimization-based model order reduction (MOR) method based on \(\mathcal{H}_2 \otimes \mathcal{L}_2\) optimality conditions.
Mlinarić, Petar +3 more
core +1 more source
Model reduction for a power grid model
Journal of Computational Dynamics, 2022 <p style='text-indent:20px;'>We examine the complexity of constructing reduced order models for subsets of the variables needed to represent the state of the power grid. In particular, we apply model reduction techniques to the DeMarco-Zheng power grid model. We show that due to the oscillating nature of the solutions and the absence of timescale
Jing Li, Panos Stinis
openaire +4 more sources