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researcher

Peter J. Seiler

4 papers hereh-index 5101 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SY2
  • physics.flu-dyn2
same name
  • Peter J. Seiler — 5 papers, h 6
  • Peter J. Seiler — 4 papers, h 2
  • Peter J. Seiler — 3 papers, h 1
  • Peter J. Seiler — 2 papers, h 8
  • Peter J. Seiler — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

eess.SY2026

Trapping Regions for Quadratic Systems with Generalized Lossless Nonlinearities

Diganta Bhattacharjee, Shih-Chi Liao, Peter J. Seiler +1

We consider a class of quadratic systems, primarily motivated by incompressible fluid flows, where the nonlinearities are generalized lossless: they do not produce or dissipate ene…

eess.SY2025

On Boundedness of Quadratic Dynamics with Energy-Preserving Nonlinearity

Shih-Chi Liao, Maziar S. Hemati, Peter Seiler

Boundedness is an important property of many physical systems. This includes incompressible fluid flows, which are often modeled by quadratic dynamics with an energy-preserving non…

physics.flu-dyn2025

Data-driven nonlinear aerodynamics models with certifiably optimal boundedness properties

A. Leonid Heide, Shih-Chi Liao, Sergio Castiblanco-Ballesteros +3

Obtaining predictive low-order models is a central challenge in fluid dynamics. Data-driven frameworks have been widely used to obtain low-order models of aerodynamic systems; yet,…

physics.flu-dyn2025

Structured Input-Output Modeling and Robust Stability Analysis of Compressible Flows

Diganta Bhattacharjee, Talha Mushtaq, Peter Seiler +1

The recently introduced structured input-output analysis is a powerful method for capturing nonlinear phenomena associated with incompressible flows, and this paper extends that me…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.