1 code implementation • 1 May 2022 • Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang
The proposed architectures are compared against standard neural network feedback controllers through numerical simulations of two high-dimensional nonlinear optimal control problems: stabilization of an unstable Burgers-type partial differential equation, and altitude and course tracking for an unmanned aerial vehicle.
no code implementations • 15 Sep 2021 • Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang
In this paper we use numerical simulations to demonstrate that typical test accuracy metrics do not effectively capture the ability of an NN controller to stabilize a system.
no code implementations • 3 Dec 2020 • Wei Kang, Qi Gong
This capability is critical because it enables the analysis of approximation errors for problems for which analytic solutions are not available, such as differential equations and optimal control.
no code implementations • 11 Sep 2020 • Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang
In this paper we propose a new computational method for designing optimal regulators for high-dimensional nonlinear systems.
BIG-bench Machine Learning Physics-informed machine learning
no code implementations • 21 Nov 2019 • Tenavi Nakamura-Zimmerer, Daniele Venturi, Qi Gong, Wei Kang
Uncertainty propagation in nonlinear dynamic systems remains an outstanding problem in scientific computing and control.
1 code implementation • 11 Jul 2019 • Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang
In this paper, we propose a data-driven method to approximate semi-global solutions to HJB equations for general high-dimensional nonlinear systems and compute candidate optimal feedback controls in real-time.
no code implementations • WS 2018 • Gaoqi Rao, Qi Gong, Baolin Zhang, Endong Xun
This paper presents the NLPTEA 2018 shared task for Chinese Grammatical Error Diagnosis (CGED) which seeks to identify grammatical error types, their range of occurrence and recommended corrections within sentences written by learners of Chinese as foreign language.