Hung D. Nguyen

Nanyang Technological University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Konstantin Turitsyn

D. E. Shaw Research

Parikshit Pareek

Los Alamos National Laboratory

Yu Weng

Nanyang Technological University

Scott A. McKinley

Tulane University

Jiahang Xie

Nanyang Technological University

David P. Herzog

Iowa State University

Krishnamurthy Dvijotham

DeepMind (United Kingdom)

Hoay Beng Gooi

Nanyang Technological University

Gustavo Didier

Tulane University

Jean-Jacques Slotine

Massachusetts Institute of Technology

Cooperative Institutions

Nanyang Technological University

Massachusetts Institute of Technology

Sandia National Laboratories California

Sandia National Laboratories

HRL Laboratories (United States)

National University of Singapore

IIT@MIT

Chongqing University

Office of Scientific and Technical Information

Agency for Science, Technology and Research

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Ergodicity of a nonlinear stochastic reaction–diffusion equation with memory

Stochastic Processes and their Applications (2022)

Hung D. Nguyen

We consider a class of semi-linear differential Volterra equations with memory terms, polynomial nonlinearities and random perturbation. For a broad class of nonlinearities, we show that the system in concern admits a unique weak solution. Also, any statistically steady state must possess regularity compatible with that of the solution. Moreover, if sufficiently many directions are stochastically forced, we employ the generalized coupling approach to prove that there exists a unique invariant probability measure and that the system is exponentially attractive. This extends ergodicity results previously established in Bonaccorsi et al., (2012).

Ergodicity

10.1016/j.spa.2022.10.005

Cite

Citations (4)

The inviscid limit for long time statistics of the one-dimensional stochastic Ginzburg-Landau equation

arXiv (Cornell University) (2024)

Hung D. Nguyen

We consider the long time statistics of a one-dimensional stochastic Ginzburg-Landau equation with cubic nonlinearity while being subjected to random perturbations via an additive Gaussian noise. Under the assumption that sufficiently many directions of the phase space are stochastically forced, we find that the dynamics is attractive toward the unique invariant probability measure with a polynomial rate that is independent of the vanishing viscosity. This relies on a coupling technique exploiting a Foias-Prodi argument specifically tailored to the system. Then, in the inviscid regime, we show that the sequence of invariant measures converges toward the invariant measure of the stochastic Schr\"odinger equation in a suitable Wasserstein distance. Together with the uniform polynomial mixing, we obtain the validity of the inviscid limit for the solutions on the infinite time horizon with a log log rate.

Inviscid flow

10.48550/arxiv.2403.08951

Cite

Citations (0)

Battery Service Lifespan Constrained Prosumer Optimization Model for P2P Energy Trading

2021 IEEE Power & Energy Society General Meeting (PESGM) (2022)

L. P. Mohasha Isuru Sampath Yu Weng Jiahang Xie Hoay Beng Gooi Hung D. Nguyen

Energy storage systems are essential to peer-to-peer (P2P) energy trading as they help constitute prosumers. One of the most popular types of energy storage is lithium-ion battery systems which are subject to degradation issues. Their performance naturally degrades over their service lifespan, so frequent and rapid dispatch of batteries for the profit maximization of P2P prosumers can harm their batteries and might lose financially in the long run. This work leverages the latest construction of safe operational regions that guarantee a predetermined expected service lifespan for batteries involved in P2P transactions. Therewith, we develop a convex optimization model for prosumers to participate in P2P energy trading while ensuring the expected service lifespan for their battery energy storage systems. The case studies demonstrate the effectiveness of the proposed framework towards long-term profit guarantees for battery-owned prosumers.

Prosumer

Profit maximization

Microgrid

10.1109/pesgm48719.2022.9916730

Cite

Citations (4)

Experiments in Active and Passive Detection of Small Border Tunnels.

Neill P. Symons Robert Abbott Gregory J. Elbring Hung D. Nguyen William O'Rourke

Source

Cite

Citations (1)

The small mass limit for long time statistics of a stochastic nonlinear damped wave equation

Journal of Differential Equations (2023)

Hung D. Nguyen

We study the long time statistics of a class of semi–linear damped wave equations with polynomial nonlinearities and perturbed by additive Gaussian noise in dimensions 2 and 3. We find that if sufficiently many directions in the phase space are stochastically forced, the system is exponentially attractive toward its unique invariant measure with a convergent rate that is uniform with respect to the mass. Then, in the small mass limit, we prove the convergence of the first marginal of the invariant measures in a suitable Wasserstein distance toward the unique invariant measure of a stochastic reaction–diffusion equation. Together with the uniform geometric ergodicity, we obtain the validity of the small mass limit for the solutions on the infinite time horizon [0,∞). This extends previously known results established for the damped wave equations under Lipschitz nonlinearities.

Ergodicity

10.1016/j.jde.2023.06.044

Cite

Citations (3)

A Projection and Decomposition Approach for Multi-agent Coordinated Scheduling in Power Systems

Journal of Modern Power Systems and Clean Energy (2024)

Haifeng Qiu Zhigang Li Hongjun Gao Hung D. Nguyen Veerapandiyan Veerasamy

Aiming at multi-agent coordinated scheduling problems in power systems under uncertainty, a generic projection and decomposition (P&D) approach is proposed in this letter. The canonical min-max-min two-stage robust optimization (TSRO) model with coupling constraints is equivalent to a concise robust optimization (RO) model in the version of mixed-integer linear programming (MILP) via feasible region projection. The decentralized decoupling of the non-convex MILP problem is realized through a dual decomposition algorithm, which ensures the fast convergence to a high-quality solution in the distributed optimization. Numerical tests verify the superior performance of the proposed P&D approach over the existing distributed TSRO method.

10.35833/mpce.2023.000422

Cite

Citations (0)

Probabilistic-based Optimal Storage Placement and Sizing Enabling Networked Microgrid Community

2022 International Conference on Smart Energy Systems and Technologies (SEST) (2021)

Parikshit Pareek Jiahang Xie Yu Weng Anshuman Singh Hung D. Nguyen

This paper presents a novel optimal energy storage siting and sizing approach that enables a networked microgrid community in active distribution systems. The siting and sizing problem is formulated using probabilistic self-sufficiency constraint (PSSC) based on voltage controllability concepts. The location and number of energy storage needed are derived via voltage control capacity, leveraging a subspace-wise linear voltage-power relationship developed using the Gaussian Process Regression. We propose a sitting-sizing feedback mechanism by combining different voltage control ideas and PSSC to enhance the optimal storage placement over iterations. The simulation results on an NMG community show the effectiveness of PSSC against robust sizing and the importance of the proposed feedback mechanism, which incorporates the changes in flow pattern due to storage placement.

Microgrid

10.1109/sest50973.2021.9543390

Cite

Citations (4)

<title>Seismic and acoustic signal identification algorithms</title>

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2000)

Mark D. Ladd Mary Kathleen Alam Gerard E. Sleefe Hung D. Nguyen

This paper will describe an algorithm for detecting and classifying seismic and acoustic signals for unattended ground sensors. The algorithm must be computationally efficient and continuously process a data stream in order to establish whether or not a desired signal has changed state (turned-on or off). The paper will focus on describing a Fourier-based technique that compares the running power spectral density estimate of the data to a predetermined signature in order to determine if the desired signal has changed state. How to establish the signature and the detection thresholds will be discussed as well as the theoretical statistics of the algorithm for the Gaussian noise case with results from simulated data. Actual seismic data results will also be discussed along with techniques used to reduce false alarms due to the inherent nonstationary noise environments found with actual data.

SIGNAL (programming language)

Signature (topology)

Gaussian Noise

Identification

Higher-order statistics

10.1117/12.392574

Cite

Citations (1)

Least Squares Optimisation Algorithm Based System Identification of an Autonomous Underwater Vehicle

M.Q. Tran Supun A. T. Radeni P.Hung D. Nguyen Jonathan Binns Shuhong Chai

Identification

Least-squares function approximation

10.15625/vap.2015.0078

Cite

Citations (5)

NOVEL TOUCH-FREE DRIVE, SENSE, AND TUNING MECHANISM FOR ALL-DIELECTRIC MICRO-SHELL GYROSCOPE

1998 Solid-State, Actuators, and Microsystems Workshop Technical Digest (2014)

Raviv Perahia Hung D. Nguyen Lizhen Huang Tracy J. Boden Jonathan Lake

This paper demonstrates, for the first time, touch-free electrical sensing and frequency tuning of an all-dielectric microshell gyroscope without electrically-conductive coatings.Current vibratory gyroscope technologies rely on an electrically-conductive structure or conductive coatings [1][2][3][4][5][6].These conductive materials and coatings often compromise the quality factor (Q), thermal stability, and symmetry necessary to achieve navigation grade performance.The novel mechanism presented herein is based on the manipulation of electric fringe fields and their gradients.Several highly-doped Si electrode structures placed adjacent to the micro-shell can drive, sense, and frequency-tune the micro-shell as experimentally demonstrated in this paper.Micro-shell n = 2 wineglass vibration modes with Q > 10 4 and frequency splits f < 50Hz are experimentally demonstrated using the touch-free gradient field transduction mechanism.Tuning of up to 4 Hz is demonstrated for a modest bias of 20V.

10.31438/trf.hh2014.103

Cite

Citations (4)