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20092022
most citedOptimal PMU Placement for Power System Dynamic State Estimation by Using Empirical Observability Gramian

204 citations · 477 across the 21 of their papers we have counts for

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21 papers

math.OC2022

An Actor Critic Method for Free Terminal Time Optimal Control

Evan Burton, Tenavi Nakamura-Zimmerer, Qi Gong +1

Optimal control problems with free terminal time present many challenges including nonsmooth and discontinuous control laws, irregular value functions, many local optima, and the c…

math.OC2022★ 15 cited

Neural Network Optimal Feedback Control with Guaranteed Local Stability

Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang

Recent research shows that supervised learning can be an effective tool for designing near-optimal feedback controllers for high-dimensional nonlinear dynamic systems. But the beha…

eess.SY2022

Machine Learning based Optimal Feedback Control for Microgrid Stabilization

Tianwei Xia, Kai Sun, Wei Kang

Microgrids have more operational flexibilities as well as uncertainties than conventional power grids, especially when renewable energy resources are utilized. An energy storage ba…

eess.SY2022

The Observability in Unobservable Systems

Wei Kang, Liang Xu, Hong Zhou

In this paper, we introduce the concept of observability of targeted state variables for systems that may not be fully observable. For their estimation, we introduce and exemplify…

math.DS2021★ 3 cited

Data-Driven Computational Methods for the Domain of Attraction and Zubov's Equation

Wei Kang, Kai Sun, Liang Xu

This paper deals with a special type of Lyapunov functions, namely the solution of Zubov's equation. Such a function can be used to characterize the domain of attraction for system…

math.OC2021★ 7 cited

Neural network optimal feedback control with enhanced closed loop stability

Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang

Recent research has shown that supervised learning can be an effective tool for designing optimal feedback controllers for high-dimensional nonlinear dynamic systems. But the behav…