Joshua L. Proctor

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Person:317176

Available identifiers

zbMath Open proctor.joshua-lMaRDI QIDQ317176

List of research outcomes

PublicationDate of PublicationType
Model selection for hybrid dynamical systems via sparse regression2019-12-06Paper
Applied Koopman theory for partial differential equations and data-driven modeling of spatio-temporal systems2019-02-19Paper
Model selection for dynamical systems via sparse regression and information criteria2019-01-09Paper
The effects of feedback on stability and maneuverability of a phase-reduced model for cockroach locomotion2018-10-25Paper
Generalizing Koopman Theory to Allow for Inputs and Control2018-07-06Paper
Modeling disease transmission near eradication: an equation free approach2017-06-06Paper
Discovering governing equations from data by sparse identification of nonlinear dynamical systems2017-02-16Paper
https://portal.mardi4nfdi.de/entity/Q29576732017-01-27Paper
Sparse Sensor Placement Optimization for Classification2016-10-28Paper
Compressed sensing and dynamic mode decomposition2016-09-30Paper
Chaos as an Intermittently Forced Linear System2016-08-18Paper
Inferring biological networks by sparse identification of nonlinear dynamics2016-05-26Paper
Sparse Identification of Nonlinear Dynamics with Control (SINDYc)2016-05-21Paper
Discovering governing equations from data by sparse identification of nonlinear dynamical systems2016-03-28Paper
Dynamic Mode Decomposition with Control2016-03-08Paper
Koopman invariant subspaces and finite linear representations of nonlinear dynamical systems for control2015-10-10Paper
Reflexes and preflexes: on the role of sensory feedback on rhythmic patterns in insect locomo\-tion2013-06-21Paper
Steering by transient destabilization in piecewise-holonomic models of legged locomotion2012-01-06Paper
A phase-reduced neuro-mechanical model for insect locomotion: feed-forward stability and proprioceptive feedback2011-05-06Paper
Averaged models for passive mode-locking using nonlinear mode-coupling2007-04-13Paper

Research outcomes over time


Doctoral students

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