emgr - Empirical Gramian Framework (3.6)

{"references": ["C. Himpe. emgr - The Empirical Gramian Framework. Algorithms, 11(7): 91, 2018. doi:10.3390/a11070091", "C. Himpe, M. Ohlberger. A Unified Software Framework for Empirical Gramians. Journal of Mathematics, 2013: 365909, 2013. doi:10.1155/2013/365909"]}

emgr - EMpirical GRamian framework for model reduction of (nonlinear) input-output systems. More information at: https://gramian.de

Version: 5.8

Related Organizations

Max Planck Institute for Dynamics of Complex Technical Systems
Germany
University of Münster
Germany
Institut Pprime
France
Max Planck Society
Germany

Keywords

[INFO.INFO-SY] Computer Science [cs]/Systems and Control [cs.SY], Observability, mor, https://mathscinet.ams.org/msc/msc2010.html?t=93B11, empirical cross gramian, Cross Gramian, PYTHON, controllability, Sensitivity, cross gramian, System Theory, Octave, NumPy, Balanced Truncation, Model Reduction, system theory, https://publishing.aip.org/publishing/pacs/pacs-reg00#02, System Gramians, science, control systems, Matlab, Gram Matrix, Empirical Gramians, Reduced Order Modeling, mathematics, parametric model order reduction, applied math, Reachability, Applied Math, nonlinear model order reduction, pmor, gramian, System Gramian, [INFO.INFO-MS] Computer Science [cs]/Mathematical Software [cs.MS], combined reduction, empirical gramian, Combined State and Parameter Reduction, control system, Controllability, Parametric Model Order Reduction, MATLAB, https://mathscinet.ams.org/msc/msc2010.html?t=93C10, observability, combined state and parameter reduction, OCTAVE, uncertainty quantification, Minimality, empirical gramian matrix, Gramian Matrix, control theory, https://dl.acm.org/ccs/ccs_flat.cfm#10003705, empirical gramians, Reduced Order Modelling, http://www.acm.org/about/class/ccs98-html#G.4, matlab, octave, math, Dominant Subspaces, FOS: Mathematics, model reduction, Identifiability, Nonlinear Model Order Reduction, Control Theory, https://mathscinet.ams.org/msc/msc2010.html?t=93A15, system identification, MOR, reduced order modelling, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], Dimension Reduction, nmor, model order reduction, matlab compatible, nonlinear, Model Order Reduction, http://msc2010.org/msc2007/93Bxx.html, Mathematics, Python

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	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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