activity
20172022
most citedLearning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems

20 citations · 37 across the 13 of their papers we have counts for

collaborators
Showing eess.SYShow all

9 papers · 1 filter

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…

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…

eess.SY2020

Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach

Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung

In recent years there has been a considerable drive towards data-driven analysis, discovery and control of dynamical systems. To this end, operator theoretic methods, namely, Koopm…

eess.SY2020

Data Driven Online Learning of Power System Dynamics

Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung

With the advancement of sensing and communication in power networks, high-frequency real-time data from a power network can be used as a resource to develop better monitoring capab…

eess.SY2019★ 1 cited

Information Transfer in Dynamical Systems and Optimal Placement of Actuators and Sensors for Control of Non-equilibrium Dynamics

Subhrajit Sinha, Umesh Vaidya, Enoch Yeung

In this paper we develop the concept of information transfer between the Borel-measurable sets for a dynamical system described by a measurable space and a non-singular transformat…