Results 1 to 10 of about 10,401 (258)

Balanced truncation for model reduction of biological oscillators. [PDF]

Biol Cybern, 2021
AbstractModel reduction is a central problem in mathematical biology. Reduced order models enable modeling of a biological system at different levels of complexity and the quantitative analysis of its properties, like sensitivity to parameter variations and resilience to exogenous perturbations.
Padoan A, Forni F, Sepulchre R.
europepmc   +6 more sources

Second-order balanced truncation

Linear Algebra and Its Applications, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Younes Chahlaoui, P Van Dooren
exaly   +3 more sources

Frequency interval balanced truncation of discrete-time bilinear systems

Cogent Engineering, 2016
This paper presents the development of a new model reduction method for discrete-time bilinear systems based on the balanced truncation framework. In many model reduction applications, it is advantageous to analyze the characteristics of the system with ...
Ahmad Jazlan, Victor Sreeram, Hamid Reza Shaker, Roberto Togneri   +3 more
doaj   +2 more sources

Linear predictive coding electroencephalography algorithms predict mortality in Parkinson’s disease [PDF]

Clinical Parkinsonism & Related Disorders
Background: Mortality is increased in Parkinson’s disease (PD) and is difficult to predict because of its heterogeneity and the availability of few reliable prognostic markers.
Simin Jamshidi, Arturo I. Espinoza, Jonathan T. Heinzman, Patrick May, Ergun Y. Uc, Nandakumar S. Narayanan, Soura Dasgupta   +6 more
doaj   +2 more sources

Frequency-Limited Balanced Truncation with Low-Rank Approximations [PDF]

SIAM Journal of Scientific Computing, 2016
Summary: We investigate model order reduction of large-scale systems using frequency-limited balanced truncation, which restricts the well known balanced truncation framework to prescribed frequency regions. The main emphasis is put on the efficient numerical realization of this model reduction approach. We discuss numerical methods to take care of the
Jens Saak, Patrick Kürschner, Peter Benner   +2 more
exaly   +4 more sources

Time-Limited Balanced Truncation for Data Assimilation Problems

Journal of Scientific Computing, 2023
AbstractBalanced truncation is a well-established model order reduction method which has been applied to a variety of problems. Recently, a connection between linear Gaussian Bayesian inference problems and the system-theoretic concept of balanced truncation has been drawn (Qian et al in Sci Comput 91:29, 2022).
Mélina Freitag, Josie KÖNIG
exaly   +3 more sources

High fidelity adaptive mirror simulations with reduced order models [PDF]

Journal of Mathematics in Industry
In the design process of large adaptive mirrors numerical simulations represent the first step to evaluate the system design compliance in terms of performance, stability and robustness.
Bernadett Stadler, Roberto Biasi, Mauro Manetti, Andreas Obereder, Ronny Ramlau, Matteo Tintori   +5 more
doaj   +2 more sources

Keyword-optimized template insertion for clinical note classification via prompt-based learning [PDF]

BMC Medical Informatics and Decision Making
Background Prompt-based learning involves the additions of prompts (i.e., templates) to the input of pre-trained large language models (PLMs) to adapt them to specific tasks with minimal training.
Eugenia Alleva, Isotta Landi, Leslee J. Shaw, Erwin Böttinger, Ipek Ensari, Thomas J. Fuchs   +5 more
doaj   +2 more sources

Optimized PID controller and model order reduction of reheated turbine for load frequency control using teaching learning-based optimization [PDF]

Scientific Reports
Load frequency control (LFC) systems in power grids face challenges in maintaining stability while managing computational complexity. This research presents an optimized approach combining model order reduction techniques with Teaching Learning-Based ...
Anurag Singh, Shekhar Yadav, Nitesh Tiwari, Dinesh Kumar Nishad, Saifullah Khalid   +4 more
doaj   +2 more sources

Balanced Truncation of $k$-Positive Systems [PDF]

IEEE Transactions on Automatic Control, 2022
This paper considers balanced truncation of discrete-time Hankel $k$-positive systems, characterized by Hankel matrices whose minors up to order $k$ are nonnegative. Our main result shows that if the truncated system has order $k$ or less, then it is Hankel totally positive ($\infty$-positive), meaning that it is a sum of first order lags.
Christian Grussler, Tobias Damm, Rodolphe Sepulchre   +2 more
openaire   +2 more sources