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20202022
most citedHeterogeneous mixtures of dictionary functions to approximate subspace invariance in Koopman operators

3 citations · 6 across the 5 of their papers we have counts for

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6 papers

eess.SY2022

Learning Invariant Subspaces of Koopman Operators--Part 2: Heterogeneous Dictionary Mixing to Approximate Subspace Invariance

Charles A. Johnson, Shara Balakrishnan, Enoch Yeung

This work builds on the models and concepts presented in part 1 to learn approximate dictionary representations of Koopman operators from data. Part I of this paper presented a met…

eess.SY2022

Learning Invariant Subspaces of Koopman Operators--Part 1: A Methodology for Demonstrating a Dictionary's Approximate Subspace Invariance

Charles A. Johnson, Shara Balakrishnan, Enoch Yeung

Koopman operators model nonlinear dynamics as a linear dynamic system acting on a nonlinear function as the state. This nonstandard state is often called a Koopman observable and i…

math.OC2022★ 1 cited

Data-Driven Observability Decomposition with Koopman Operators for Optimization of Output Functions of Nonlinear Systems

Shara Balakrishnan, Aqib Hasnain, Robert Egbert +1

When complex systems with nonlinear dynamics achieve an output performance objective, only a fraction of the state dynamics significantly impacts that output. Those minimal state d…

eess.SY2022★ 3 cited

Heterogeneous mixtures of dictionary functions to approximate subspace invariance in Koopman operators

Charles A. Johnson, Shara Balakrishnan, Enoch Yeung

Koopman operators model nonlinear dynamics as a linear dynamic system acting on a nonlinear function as the state. This nonstandard state is often called a Koopman observable and i…

math.OC2021★ 2 cited

The Effect of Sensor Fusion on Data-Driven Learning of Koopman Operators

Shara Balakrishnan, Aqib Hasnain, Rob Egbert +1

Dictionary methods for system identification typically rely on one set of measurements to learn governing dynamics of a system. In this paper, we investigate how fusion of output m…

math.OC2020

Prediction of fitness in bacteria with causal jump dynamic mode decomposition

Shara Balakrishnan, Aqib Hasnain, Nibodh Boddupalli +3

In this paper, we consider the problem of learning a predictive model for population cell growth dynamics as a function of the media conditions. We first introduce a generic data-d…