Results 281 to 290 of about 8,027,948 (326)
Some of the next articles are maybe not open access.
Parameter-dependent model order reduction
International Journal of Control, 1997L In this paper we consider the optimal model reduction problem where the plant 2 model depends on parameters that are measurable. Such cases occur in many on-line as well as off-line applications and the question that arises is how to update the reduced order model without complete re-solution of the problem.
Y. Halevi, A. Zlochevsky, T. Gilat
openaire +1 more source
Model Order Reduction of Linear Systems via the Cross Gramian and SVD
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2019On the basis of the cross Gramian and the singular value decomposition, this brief investigates model order reduction of linear time-invariant systems in the view of the symmetric case and the nonsymmetric case.
Yaolin Jiang, Zhen-Zhong Qi, Ping Yang
semanticscholar +1 more source
On symbolic model order reduction
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2006Symbolic model order reduction (SMOR) is a macromodeling technique that generates reduced-order models while retaining the parameters in the original models. Such symbolic reduced-order models can be repeatedly simulated with a greater efficiency for varying model parameters.
null Guoyong Shi +2 more
openaire +1 more source
Model Order Reduction Based on Agglomerative Hierarchical Clustering
IEEE Transactions on Neural Networks and Learning Systems, 2019This paper presents an improved method for reducing high-order dynamical system models via clustering. Agglomerative hierarchical clustering based on performance evaluation (HC-PE) is introduced for model order reduction. This method computes the reduced
Seaar Al-Dabooni, D. Wunsch
semanticscholar +1 more source
Model order reduction for the Krasnoselskii–Pokrovskii (KP) model
Smart materials and structures (Print), 2019Krasnoselskii–Pokrovskii (KP) model is one of popular operator-based hysteresis models. For the numerical implementation, the KP model is constructed by the superposition of weighted KP kernels. However, due to the complicated definition of the KP kernel,
Zhi Li, Xiuyu Zhang
semanticscholar +1 more source
Model Order Reduction via Moment-Matching: A State of the Art Review
Archives of Computational Methods in Engineering, 2021Danish Rafiq, M. A. Bazaz
semanticscholar +1 more source
Model Order Reduction Algorithm Based on Preserving Dominant Poles
International Journal of Control, Automation and Systems, 2021N. Vu, H. Nguyen
semanticscholar +1 more source
Index-aware Model Order Reduction
2016In this chapter, we discuss the index-aware model order reduction (IMOR) and its invariant the implicit-IMOR(IIMOR) method. We use the decoupled systems ( 3.2.11) and ( 3.7.1) to derive the IMOR and IIMOR method respectively.
N. Banagaaya +2 more
openaire +1 more source
Hierarchical Model-Order Reduction Flow
2010This paper presents a hierarchical model-order reduction (HMOR) flow, where the linear parts of a hierarchically defined circuits are divided into independently reducable subcircuits. The impact of the hierarchical structure and circuit partitioning on two MOR methods is discussed and some simulation results are presented.
Mikko Honkala +3 more
openaire +1 more source
Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
exaly