Truong Nghiem

According to our database1, Truong Nghiem authored at least 41 papers between 2010 and 2024.

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Bibliography

2024
Connectivity-Preserving Distributed Informative Path Planning for Mobile Robot Networks.
IEEE Robotics Autom. Lett., 2024

2023
Analysis of Microalgal Density Estimation by Using LASSO and Image Texture Features.
Sensors, March, 2023

Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces.
CoRR, 2023

Causal Deep Operator Networks for Data-Driven Modeling of Dynamical Systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Physics Constrained Motion Prediction with Uncertainty Quantification.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Distributed formation trajectory planning for multi-vehicle systems.
Proceedings of the American Control Conference, 2023

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems.
Proceedings of the American Control Conference, 2023

2022
Least square and Gaussian process for image based microalgal density estimation.
Comput. Electron. Agric., 2022

Multistep Predictions for Adaptive Sampling in Mobile Robotic Sensor Networks Using Proximal ADMM.
IEEE Access, 2022

Collision-free Minimum-time Trajectory Planning for Multiple Vehicles based on ADMM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Anytime Computation and Control for Autonomous Systems.
IEEE Trans. Control. Syst. Technol., 2021

ADMM-based Adaptive Sampling Strategy for Nonholonomic Mobile Robotic Sensor Networks.
CoRR, 2021

Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

A Receding Horizon Approach for Simultaneous Active Learning and Control using Gaussian Processes.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021

An Efficient Adaptive Sampling Approach for Mobile Robotic Sensor Networks using Proximal ADMM.
Proceedings of the 2021 American Control Conference, 2021

2020
Gaussian Process Based Distributed Model Predictive Control for Multi-agent Systems using Sequential Convex Programming and ADMM.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

Learning-based Adaptive Quantization for Communication-efficient Distributed Optimization with ADMM.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Linearized Gaussian Processes for Fast Data-driven Model Predictive Control.
Proceedings of the 2019 American Control Conference, 2019

Fast Gaussian Process based Model Predictive Control with Uncertainty Propagation.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Learning and control using gaussian processes: towards bridging machine learning and controls for physical systems.
Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, 2018

Learning Proximal Operators with Gaussian Processes.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Data-driven demand response modeling and control of buildings with Gaussian Processes.
Proceedings of the 2017 American Control Conference, 2017

2016
OpenBuildNet framework for distributed co-simulation of smart energy systems.
Proceedings of the 14th International Conference on Control, 2016

2015
Co-design of Anytime Computation and Robust Control.
Proceedings of the 2015 IEEE Real-Time Systems Symposium, 2015

Scalable scheduling of energy control systems.
Proceedings of the 2015 International Conference on Embedded Software, 2015

2014
Distributed control of a swarm of buildings connected to a smart grid: demo abstract.
Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, 2014

Model-IQ: Uncertainty propagation from sensing to modeling and control in buildings.
Proceedings of the ACM/IEEE International Conference on Cyber-Physical Systems, 2014

IMpACT: Inverse model accuracy and control performance toolbox for buildings.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

Peak power reduction in hybrid energy systems with limited load forecasts.
Proceedings of the American Control Conference, 2014

2013
MLE+: a tool for integrated design and deployment of energy efficient building controls.
SIGBED Rev., 2013

Event-based Green scheduling of radiant systems in buildings.
Proceedings of the American Control Conference, 2013

2012
Time-Triggered Implementations of Dynamic Controllers.
ACM Trans. Embed. Comput. Syst., 2012

MLE+: design and deployment integration for energy-efficient building controls.
Proceedings of the BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, 2012

Green Scheduling for Energy-Efficient Operation of Multiple Chiller Plants.
Proceedings of the 33rd IEEE Real-Time Systems Symposium, 2012

Green scheduling for radiant systems in buildings.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Scalable scheduling of building control systems for peak demand reduction.
Proceedings of the American Control Conference, 2012

2011
On the Feasibility of Linear Discrete-Time Systems of the Green Scheduling Problem.
Proceedings of the 32nd IEEE Real-Time Systems Symposium, 2011

Green scheduling: Scheduling of control systems for peak power reduction.
Proceedings of the 2011 International Green Computing Conference and Workshops, 2011

Green scheduling of control systems for peak demand reduction.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Receding-horizon supervisory control of green buildings.
Proceedings of the American Control Conference, 2011

2010
Monte-carlo techniques for falsification of temporal properties of non-linear hybrid systems.
Proceedings of the 13th ACM International Conference on Hybrid Systems: Computation and Control, 2010


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