dr inż. Michał Rewieński
Employment
- Assistant professor at Department of Microwave and Antenna Engineering
Keywords Help
- model order reduction
- s-parameter computation
- a posteriori error estimator
- a-posteriori error estimator
- complex generalized non-hermitian eigenproblem (gnhep)
- computer-aided engineering, design automation, finite-element method (fem), microwave circuits, modelorder reduction (mor), reduced-basis methods (rbms).
- dispersive boundary conditions
- eigensolver
- fast frequency sweep
- fast-spice
Social media
Contact
- micrewie@pg.edu.pl
Assistant professor
- Department of Microwave and Antenna Engineering
- Faculty of Electronics, Telecommunications and Informatics
- Workplace
-
Budynek A Elektroniki
room EA 710 open in new tab - Phone
- (58) 347 15 73
- mrewiens@eti.pg.edu.pl
Publication showcase
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Greedy Multipoint Model-Order Reduction Technique for Fast Computation of Scattering Parameters of Electromagnetic Systems
This paper attempts to develop a new automated multipoint model-order reduction (MOR) technique, based on matching moments of the system input–output function, which would be suited for fast and accurate computation of scattering parameters for electromagnetic (EM) systems over a wide frequency band. To this end, two questions are addressed. Firstly, the cost of the wideband reduced model generation is optimized by automating a...
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A Goal-Oriented Error Estimator for Reduced Basis Method Modeling of Microwave Devices
This letter proposes a novel a-posteriori error estimator suitable for the reduced order modeling of microwave circuits. Unlike the existing error estimators based on impedance function residuals, the new one exploits the residual error associated with the computation of the scattering matrix. The estimator can be effectively used in the Reduced Basis Method (RBM) to automatically generate reduced-order models. The results of numerical...
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Wideband Macromodels in Finite Element Method
This letter proposes a novel projection technique for accelerating Finite Element Method simulations. The algorithm is based on the Second-order Arnoldi Method for Passive Order Reduction (SAPOR). It involves generation of two projection bases and thanks to this it is applicable to the systems of equations, which contain the quadratic frequency-dependence in the input term, that arise when projection is applied locally in the selected...
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