Model order reduction for linear and nonlinear systems: a system-theoretic perspective
In the past decades, Model Order Reduction (MOR) has demonstrated its robustness and
wide applicability for simulating large-scale mathematical models in engineering and the …
wide applicability for simulating large-scale mathematical models in engineering and the …
Advanced symbolic analysis for VLSI systems
G Shi, SXD Tan, E Tlelo-Cuautle - Methods and Applications, Berlin …, 2014 - Springer
Symbolic analysis is an intriguing topic for VLSI design. Traditional symbolic analysis is
typically concerned with deriving exact or approximate analytic expressions of analog circuit …
typically concerned with deriving exact or approximate analytic expressions of analog circuit …
H2 pseudo-optimal model order reduction
T Wolf - 2014 - mediatum.ub.tum.de
The cornerstone of the thesis is to motivate and comprehensively characterise H 2 pseudo-
optimality in the linear model order reduction of large-scale dynamical systems based on …
optimality in the linear model order reduction of large-scale dynamical systems based on …
Model order reduction based on dynamic relative gain array for MIMO systems
W Liang, HB Chen, G He, J Chen - IEEE transactions on circuits …, 2019 - ieeexplore.ieee.org
The computational efficiency of traditional model order reduction (MOR) methods may
degrade sharply for multi-input multi-output (MIMO) systems especially when the number of …
degrade sharply for multi-input multi-output (MIMO) systems especially when the number of …
Balanced truncation model reduction for symmetric second order systems---a passivity-based approach
We introduce a model reduction approach for linear time-invariant second order systems
based on positive real balanced truncation. Our method guarantees to preserve asymptotic …
based on positive real balanced truncation. Our method guarantees to preserve asymptotic …
DRGA-Based Second-Order Block Arnoldi Method for Model Order Reduction of MIMO RCS Circuits
HB Chen, X Zhang, W Zhu, J Chen… - … on Circuits and …, 2024 - ieeexplore.ieee.org
With the escalating demand for fast simulation of large-scale multi-input multi-output (MIMO)
RCS circuits formulated as second-order differential systems, the need arises for more …
RCS circuits formulated as second-order differential systems, the need arises for more …
Decentralized and passive model order reduction of linear networks with massive ports
B Yan, SXD Tan, L Zhou, J Chen… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
It is well known that model order reduction for circuits with many terminals remains a
challenging problem. One reason is that existing approaches are based on a centralized …
challenging problem. One reason is that existing approaches are based on a centralized …
RGA-SOBAR: Second-order block Arnoldi method based on relative gain array for model order reduction of MIMO RCS circuits
X Zhang, HB Chen, J Chen - 2021 60th IEEE Conference on …, 2021 - ieeexplore.ieee.org
With the escalating demand for fast simulation of large-scale multi-input multi-output (MIMO)
RCS circuits formulated as second-order differential systems, the need arises for more …
RCS circuits formulated as second-order differential systems, the need arises for more …
An improved simulation budget allocation procedure to efficiently select the optimal subset of many alternatives
How to maximize the probability of correctly selecting the top-m designs out of k designs
under a computing budget constraint is crucial in simulation optimization. We develop a new …
under a computing budget constraint is crucial in simulation optimization. We develop a new …
Generating passive compact models for piezoelectric devices
CC Chen, CW Kuo, YJ Yang - IEEE Transactions on Computer …, 2011 - ieeexplore.ieee.org
In this letter, a model-order-reduction method for generating piezoelectric compact models is
presented. An Arnoldi-based technique is used to create compact models from the system …
presented. An Arnoldi-based technique is used to create compact models from the system …