Christopher R. Laughman

According to our database, Christopher R. Laughman authored at least 25 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Simulation Failure-Robust Bayesian Optimization for Data-Driven Parameter Estimation.

Ankush Chakrabarty, Scott A. Bortoff, Christopher R. Laughman

IEEE Trans. Syst. Man Cybern. Syst., May, 2023

Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States.

Vedang M. Deshpande, Ankush Chakrabarty, Abraham P. Vinod, Christopher R. Laughman

IEEE Control. Syst. Lett., 2023

Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints.

Wenjie Xu, Colin N. Jones, Bratislav Svetozarevic, Christopher R. Laughman, Ankush Chakrabarty

CoRR, 2023

Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?

Alessandro Salatiello, Ye Wang, Gordon Wichern, Toshiaki Koike-Akino, Yoshihiro Ohta, Yosuke Kaneko, Christopher R. Laughman, Ankush Chakrabarty

Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

LSR-BO: Local Search Region Constrained Bayesian Optimization for Performance Optimization of Vapor Compression Systems.

Joel A. Paulson, Farshud Sorourifar, Christopher R. Laughman, Ankush Chakrabarty

Proceedings of the American Control Conference, 2023

Learning Residual Dynamics via Physics-Augmented Neural Networks: Application to Vapor Compression Cycles.

Raphael Chinchilla, Vedang M. Deshpande, Ankush Chakrabarty, Christopher R. Laughman

Proceedings of the American Control Conference, 2023

2022

Meta-Learning of Neural State-Space Models Using Data From Similar Systems.

Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman

CoRR, 2022

Composing Modeling And Simulation With Machine Learning In Julia.

Chris Rackauckas, Maja Gwózdz, Anand Jain, Yingbo Ma, Francesco Martinuzzi, Utkarsh Rajput, Elliot Saba, Viral B. Shah, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Avik Pal, Chris Laughman

Proceedings of the Annual Modeling and Simulation Conference, 2022

VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints.

Wenjie Xu, Colin N. Jones, Bratislav Svetozarevic, Christopher R. Laughman, Ankush Chakrabarty

Proceedings of the American Control Conference, 2022

Constrained Smoothers for State Estimation of Vapor Compression Cycles.

Vedang M. Deshpande, Christopher R. Laughman, Yingbo Ma, Chris Rackauckas

Proceedings of the American Control Conference, 2022

2021

Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins.

Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman

CoRR, 2021

ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling.

Yingbo Ma, Shashi Gowda, Ranjan Anantharaman, Chris Laughman, Viral B. Shah, Christopher Rackauckas

CoRR, 2021

Simulation Failure Robust Bayesian Optimization for Estimating Black-Box Model Parameters.

Ankush Chakrabarty, Scott A. Bortoff, Christopher R. Laughman

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks.

Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020

Proportional-Integral Extremum Seeking for Vapor Compression Systems.

Daniel J. Burns, Christopher R. Laughman, Martin Guay

IEEE Trans. Control. Syst. Technol., 2020

2019

Coupled Simulation of a Room Air-conditioner with CFD Models for Indoor Environment.

Hongtao Qiao, Xu Han, Saleh Nabi, Christopher R. Laughman

Proceedings of the 13th International Modelica Conference, Regensburg, Germany, 2019

Thermodynamic Property and Fluid Modeling with Modern Programming Language Construct.

Martin Otter, Hilding Elmqvist, Dirk Zimmer, Christopher R. Laughman

Proceedings of the 13th International Modelica Conference, Regensburg, Germany, 2019

An Extended Luenberger Observer for HVAC Application using FMI.

Scott A. Bortoff, Christopher R. Laughman

Proceedings of the 13th International Modelica Conference, Regensburg, Germany, 2019

Modelica Implementation of Centralized MPC Controller for a Multi-Zone Heat Pump.

Pablo Krupa, Claus Danielson, Christopher R. Laughman, Scott A. Bortoff, Daniel J. Burns, Stefano Di Cairano, Daniel Limón

Proceedings of the 17th European Control Conference, 2019

Heat Exchanger Circuitry Design by Decision Diagrams.

Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019

2018

Power Optimizing Control of Multi-Zone Heat Pumps.

Scott A. Bortoff, Daniel J. Burns, Christopher R. Laughman, Hongtao Qiao, Claus Danielson, Abraham Goldsmith, Stefano Di Cairano

Proceedings of the IEEE Conference on Control Technology and Applications, 2018

2017

Optimization of circuitry arrangements for heat exchangers using derivative-free optimization.

Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis

CoRR, 2017

2007

A Kalman-Filter Spectral Envelope Preprocessor.

Steven R. Shaw, Christopher R. Laughman

IEEE Trans. Instrum. Meas., 2007

2006

A Method for Nonlinear Least Squares With Structured Residuals.

Steven R. Shaw, Christopher R. Laughman

IEEE Trans. Autom. Control., 2006

2000

A power quality prediction system.

Steven R. Shaw, Christopher R. Laughman, Steven B. Leeb, Robert F. Lepard

IEEE Trans. Ind. Electron., 2000