6 citations · 6 across the 6 of their papers we have counts for
7 papers
Load Identification in Bistable Spacecraft Booms via Parametric Data-Driven Modeling
Deven H. Mhadgut, Austin Phoenix, Serkan Gugercin +3
Bistable tape spring booms are used on spacecraft for their ability to self-deploy using stored strain energy. However, their uncontrolled deployment can induce mechanical shocks t…
A refined nonlinear least-squares method for the rational approximation problem
Michael S. Ackermann, Linus Balicki, Serkan Gugercin +1
The adaptive Antoulas-Anderson (AAA) algorithm for rational approximation is a widely used method for the efficient construction of highly accurate rational approximations to given…
A parametric Keldysh decomposition
Linus Balicki, Mark Embree, Serkan Gugercin
Contour integral algorithms seek to compute a small number of eigenvalues located within a bounded region of the complex plane. These methods can be applied to both linear and nonl…
Multivariate Rational Approximation of Scattered Data Using the p-AAA Algorithm
Linus Balicki, Serkan Gugercin
Many algorithms for approximating data with rational functions are built on interpolation or least-squares approximation. Inspired by the adaptive Antoulas-Anderson (AAA) algorithm…
Multivariate Rational Approximation via Low-Rank Tensors and the p-AAA Algorithm
Linus Balicki, Serkan Gugercin
Approximations based on rational functions are widely used in various applications across computational science and engineering. For univariate functions, the adaptive Antoulas-And…
Energy-Based Approximation of Linear Systems with Polynomial Outputs
Linus Balicki, Serkan Gugercin
Controllability and observability energy functions play a fundamental role in model order reduction and are inherently connected to optimal control problems. For linear dynamical s…
Scalable Computation of Energy Functions for Nonlinear Balanced Truncation
Boris Kramer, Serkan Gugercin, Jeff Borggaard +1
Nonlinear balanced truncation is a model order reduction technique that reduces the dimension of nonlinear systems in a manner that accounts for either open- or closed-loop observa…