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Published in 2018 at "Advances in Computational Mathematics"
DOI: 10.1007/s10444-018-9608-6
Abstract: In this article we investigate model order reduction of large-scale systems using time-limited balanced truncation, which restricts the well known balanced truncation framework to prescribed finite time intervals. The main emphasis is on the efficient…
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Keywords:
reduction;
order;
time;
model ... See more keywords
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Published in 2018 at "Advances in Computational Mathematics"
DOI: 10.1007/s10444-018-9610-z
Abstract: We propose a model order reduction approach for balanced truncation of linear switched systems. Such systems switch among a finite number of linear subsystems or modes. We compute pairs of controllability and observability Gramians corresponding…
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Keywords:
truncation linear;
switched systems;
linear switched;
balanced truncation ... See more keywords
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Published in 2019 at "Numerical Algorithms"
DOI: 10.1007/s11075-019-00696-9
Abstract: In this paper, we present a new approach for large-scale Lyapunov matrix equations, where we present two algorithms named: Adaptive Block Tangential Lanczos-type and Arnoldi-type algorithms (ABTL and ABTA). This approach is based on the…
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Keywords:
method balanced;
tangential method;
model;
model reduction ... See more keywords
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Published in 2018 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-016-0359-z
Abstract: In this paper, we consider the balanced truncation method for model reductions in large-scale linear and time-independent dynamical systems with multi-inputs and multi-outputs. The method is based on the solutions of two large coupled Lyapunov…
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Keywords:
large scale;
rational krylov;
model;
balanced truncation ... See more keywords
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Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.2576
Abstract: Abstract In this contribution, a novel method for model order reduction is presented. Since biological systems are often highly nonlinear or having a high number of parameters, the concept of empirical Gramians is considered for…
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Keywords:
reduction;
model order;
order reduction;
balanced truncation ... See more keywords
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Published in 2021 at "Linear Algebra and its Applications"
DOI: 10.1016/j.laa.2020.09.029
Abstract: Abstract In this paper, balancing based model order reduction (MOR) for large-scale linear discrete-time time-invariant systems in prescribed finite time intervals is studied. The first main topic is the development of error bounds regarding the…
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Keywords:
discrete time;
time;
time limited;
output ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3446642
Abstract: To implement deep learning models on edge devices, model compression methods have been widely recognized as useful. However, it remains unclear which model compression methods are effective for Structured State Space Sequence (S4) models incorporating…
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Keywords:
state space;
balanced truncation;
model;
model compression ... See more keywords
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Published in 2019 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2019.2908523
Abstract: We show that two widely accepted model reduction techniques, balanced truncation (BT) and balanced singular perturbation approximation (BSPA), can be derived as limiting approximations of a carefully constructed parameterization of linear time invariant systems by…
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Keywords:
singular perturbation;
approximation;
model boundary;
model ... See more keywords
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Published in 2021 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v11i3.pp2045-2053
Abstract: Model reduction of a system is an approximation of a higher-order system to a lower-order system while the dynamic behavior of the system is almost unchanged. In this paper, we will discuss model order reduction…
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Keywords:
unstable systems;
model;
balanced truncation;
model reduction ... See more keywords