Truong X. Nghiem

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 25

Top Topics

Receding Horizon

Gaussian Process

Model Predictive Control

Top Venues

Publications

Binh Nguyen, Linh Nguyen, Truong X. Nghiem, Hung La, José Baca, Pablo Rangel, Miguel Cid Montoya, Thang Nguyen
Spatially temporally distributed informative path planning for multi-robot systems. CoRR (2024)
Thanh Binh Nguyen, Truong X. Nghiem, Linh V. Nguyen, Hung M. La, Thang Nguyen
Connectivity-Preserving Distributed Informative Path Planning for Mobile Robot Networks. IEEE Robotics Autom. Lett. 9 (3) (2024)
Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. ACC (2023)
Truong X. Nghiem, Thang Nguyen, Binh T. Nguyen, Linh Nguyen
Causal Deep Operator Networks for Data-Driven Modeling of Dynamical Systems. SMC (2023)
Tomás Nagy, Ahmad Amine, Truong X. Nghiem, Ugo Rosolia, Zirui Zang, Rahul Mangharam
Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces. CoRR (2023)
Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. CoRR (2023)
Linh V. Nguyen, Dung Kim Nguyen, Thang Nguyen, Thanh Binh Nguyen, Truong X. Nghiem
Analysis of Microalgal Density Estimation by Using LASSO and Image Texture Features. Sensors 23 (5) (2023)
Linh Nguyen, Dung K. Nguyen, Truong X. Nghiem, Thang Nguyen
Least square and Gaussian process for image based microalgal density estimation. Comput. Electron. Agric. 193 (2022)
Viet-Anh Le, Linh Nguyen, Truong X. Nghiem
Multistep Predictions for Adaptive Sampling in Mobile Robotic Sensor Networks Using Proximal ADMM. IEEE Access 10 (2022)
Viet-Anh Le, Linh V. Nguyen, Truong X. Nghiem
An Efficient Adaptive Sampling Approach for Mobile Robotic Sensor Networks using Proximal ADMM. ACC (2021)
Viet-Anh Le, Truong X. Nghiem
Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes. CoRR (2021)
Yash Vardhan Pant, Houssam Abbas, Kartik Mohta, Rhudii A. Quaye, Truong X. Nghiem, Joseph Devietti, Rahul Mangharam
Anytime Computation and Control for Autonomous Systems. IEEE Trans. Control. Syst. Technol. 29 (2) (2021)
Viet-Anh Le, Linh V. Nguyen, Truong X. Nghiem
ADMM-based Adaptive Sampling Strategy for Nonholonomic Mobile Robotic Sensor Networks. CoRR (2021)
Viet-Anh Le, Truong X. Nghiem
A Receding Horizon Approach for Simultaneous Active Learning and Control using Gaussian Processes. CCTA (2021)
Viet-Anh Le, Truong X. Nghiem
Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes. CDC (2021)
Viet-Anh Le, Truong X. Nghiem
A Receding Horizon Approach for Simultaneous Active Learning and Control using Gaussian Processes. CoRR (2021)
Viet-Anh Le, Truong X. Nghiem
Gaussian Process Based Distributed Model Predictive Control for Multi-agent Systems using Sequential Convex Programming and ADMM. CCTA (2020)
Truong X. Nghiem, Aldo Duarte, Shuangqing Wei
Learning-based Adaptive Quantization for Communication-efficient Distributed Optimization with ADMM. ACSSC (2020)
Truong X. Nghiem
Linearized Gaussian Processes for Fast Data-driven Model Predictive Control. ACC (2019)
Truong X. Nghiem, Trong-Doan Nguyen, Viet-Anh Le
Fast Gaussian Process based Model Predictive Control with Uncertainty Propagation. Allerton (2019)
Truong X. Nghiem
Linearized Gaussian Processes for Fast Data-driven Model Predictive Control. CoRR (2018)
Achin Jain, Truong X. Nghiem, Manfred Morari, Rahul Mangharam
Learning and control using gaussian processes: towards bridging machine learning and controls for physical systems. ICCPS (2018)
Truong X. Nghiem, Giorgos Stathopoulos, Colin N. Jones
Learning Proximal Operators with Gaussian Processes. Allerton (2018)
Truong X. Nghiem, Colin N. Jones
Data-driven demand response modeling and control of buildings with Gaussian Processes. ACC (2017)
Truong X. Nghiem, Altug Bitlislioglu, Tomasz T. Gorecki, Faran A. Qureshi, Colin N. Jones
OpenBuildNet framework for distributed co-simulation of smart energy systems. ICARCV (2016)
Yash Vardhan Pant, Houssam Abbas, Kartik Mohta, Truong X. Nghiem, Joseph Devietti, Rahul Mangharam
Co-design of Anytime Computation and Robust Control. RTSS (2015)
Truong X. Nghiem, Rahul Mangharam
Scalable scheduling of energy control systems. EMSOFT (2015)
Madhur Behl, Truong X. Nghiem, Rahul Mangharam
IMpACT: Inverse model accuracy and control performance toolbox for buildings. CASE (2014)
Madhur Behl, Truong X. Nghiem, Rahul Mangharam
Model-IQ: Uncertainty propagation from sensing to modeling and control in buildings. ICCPS (2014)
Baris Aksanli, Alper Sinan Akyurek, Madhur Behl, Meghan Clark, Alexandre Donzé, Prabal Dutta, Patrick Lazik, Mehdi Maasoumy, Rahul Mangharam, Truong X. Nghiem, Vasumathi Raman, Anthony Rowe, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Tajana Simunic Rosing, Jagannathan Venkatesh
Distributed control of a swarm of buildings connected to a smart grid: demo abstract. BuildSys@SenSys (2014)
Yash Vardhan Pant, Truong X. Nghiem, Rahul Mangharam
Peak power reduction in hybrid energy systems with limited load forecasts. ACC (2014)
Truong X. Nghiem, George J. Pappas, Rahul Mangharam
Event-based Green scheduling of radiant systems in buildings. ACC (2013)
Willy Bernal, Madhur Behl, Truong X. Nghiem, Rahul Mangharam
MLE+: a tool for integrated design and deployment of energy efficient building controls. BuildSys@SenSys (2012)
Truong X. Nghiem, Madhur Behl, Rahul Mangharam, George J. Pappas
Scalable scheduling of building control systems for peak demand reduction. ACC (2012)
Truong X. Nghiem, George J. Pappas
Receding-horizon supervisory control of green buildings. ACC (2011)