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ORCIDChristopher R. Laughman
Person information
- affiliation: Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA
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2020 – today
- 2024
[c19]Farshud Sorourifar, Joel A. Paulson, Ye Wang, Rien Quirynen, Christopher R. Laughman, Ankush Chakrabarty:
Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems. CCTA 2024: 414-419- [c18]Luigi Vanfretti, Christopher R. Laughman:
Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL. CCTA 2024: 525-532 - [c17]Scott A. Bortoff, Hongtao Qiao, Christopher R. Laughman:
Modeling and Control of a Multi-Mode Heat Pump. CCTA 2024: 539-546 - [c16]Ankush Chakrabarty, Luigi Vanfretti, Wei-Ting Tang, Joel A. Paulson, Sicheng Zhan, Scott A. Bortoff, Vedang M. Deshpande, Ye Wang, Christopher R. Laughman:
Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks. CCTA 2024: 547-554 - 2023
- [j6]Vedang M. Deshpande
, Ankush Chakrabarty, Abraham P. Vinod, Christopher R. Laughman:
Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States. IEEE Control. Syst. Lett. 7: 3483-3488 (2023) - [j5]Ankush Chakrabarty, Scott A. Bortoff, Christopher R. Laughman:
Simulation Failure-Robust Bayesian Optimization for Data-Driven Parameter Estimation. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 2629-2640 (2023) - [c15]Joel A. Paulson, Farshud Sorourifar, Christopher R. Laughman, Ankush Chakrabarty:
LSR-BO: Local Search Region Constrained Bayesian Optimization for Performance Optimization of Vapor Compression Systems. ACC 2023: 576-582 - [c14]Raphael Chinchilla, Vedang M. Deshpande, Ankush Chakrabarty, Christopher R. Laughman:
Learning Residual Dynamics via Physics-Augmented Neural Networks: Application to Vapor Compression Cycles. ACC 2023: 4069-4076 - [c13]Alessandro Salatiello, Ye Wang, Gordon Wichern, Toshiaki Koike-Akino, Yoshihiro Ohta, Yosuke Kaneko, Christopher R. Laughman, Ankush Chakrabarty:
Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between? e-Energy (Companion) 2023: 125-133 - [i8]Wenjie Xu, Colin N. Jones, Bratislav Svetozarevic, Christopher R. Laughman, Ankush Chakrabarty:
Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints. CoRR abs/2301.12099 (2023) - 2022
- [c12]Vedang M. Deshpande, Christopher R. Laughman, Yingbo Ma, Chris Rackauckas:
Constrained Smoothers for State Estimation of Vapor Compression Cycles. ACC 2022: 2333-2340 - [c11]Wenjie Xu, Colin N. Jones, Bratislav Svetozarevic, Christopher R. Laughman, Ankush Chakrabarty:
VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints. ACC 2022: 5288-5293 - [c10]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:
Composing Modeling And Simulation With Machine Learning In Julia. ANNSIM 2022: 1-17 - [i7]Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman:
Meta-Learning of Neural State-Space Models Using Data From Similar Systems. CoRR abs/2211.07768 (2022) - 2021
- [c9]Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas:
Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks. AAAI Spring Symposium: MLPS 2021 - [c8]Ankush Chakrabarty, Scott A. Bortoff, Christopher R. Laughman:
Simulation Failure Robust Bayesian Optimization for Estimating Black-Box Model Parameters. SMC 2021: 1533-1538 - [i6]Yingbo Ma, Shashi Gowda, Ranjan Anantharaman, Chris Laughman, Viral B. Shah, Christopher Rackauckas:
ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling. CoRR abs/2103.05244 (2021) - [i5]Christopher Rackauckas, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Maja Gwózdz, Anand Jain, Chris Laughman, Yingbo Ma, Francesco Martinuzzi, Avik Pal, Utkarsh Rajput, Elliot Saba, Viral B. Shah:
Composing Modeling and Simulation with Machine Learning in Julia. CoRR abs/2105.05946 (2021) - [i4]Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman:
Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins. CoRR abs/2106.15502 (2021) - [i3]Wenjie Xu, Colin N. Jones, Bratislav Svetozarevic, Christopher R. Laughman, Ankush Chakrabarty:
VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints. CoRR abs/2110.07479 (2021) - 2020
- [j4]Daniel J. Burns, Christopher R. Laughman, Martin Guay:
Proportional-Integral Extremum Seeking for Vapor Compression Systems. IEEE Trans. Control. Syst. Technol. 28(2): 403-412 (2020) - [i2]Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas:
Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks. CoRR abs/2010.04004 (2020)
2010 – 2019
- 2019
- [c7]Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis:
Heat Exchanger Circuitry Design by Decision Diagrams. CPAIOR 2019: 461-471 - [c6]Pablo Krupa, Claus Danielson, Christopher R. Laughman, Scott A. Bortoff, Daniel J. Burns, Stefano Di Cairano, Daniel Limón:
Modelica Implementation of Centralized MPC Controller for a Multi-Zone Heat Pump. ECC 2019: 1784-1789 - [c5]Scott A. Bortoff, Christopher R. Laughman:
An Extended Luenberger Observer for HVAC Application using FMI. Modelica 2019: 157:015 - [c4]Martin Otter, Hilding Elmqvist, Dirk Zimmer, Christopher R. Laughman:
Thermodynamic Property and Fluid Modeling with Modern Programming Language Construct. Modelica 2019: 157:060 - [c3]Hongtao Qiao, Xu Han, Saleh Nabi, Christopher R. Laughman:
Coupled Simulation of a Room Air-conditioner with CFD Models for Indoor Environment. Modelica 2019: 157:028 - 2018
- [c2]Scott A. Bortoff, Daniel J. Burns, Christopher R. Laughman, Hongtao Qiao, Claus Danielson, Abraham Goldsmith, Stefano Di Cairano:
Power Optimizing Control of Multi-Zone Heat Pumps. CCTA 2018: 826-833 - 2017
- [i1]Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis:
Optimization of circuitry arrangements for heat exchangers using derivative-free optimization. CoRR abs/1705.10437 (2017) - 2016
- [c1]Daniel J. Burns, Christopher R. Laughman, Martin Guay:
Proportional-integral extremum seeking for vapor compression systems. ACC 2016: 2352-2357
2000 – 2009
- 2007
- [j3]Steven R. Shaw, Christopher R. Laughman:
A Kalman-Filter Spectral Envelope Preprocessor. IEEE Trans. Instrum. Meas. 56(5): 2010-2017 (2007) - 2006
- [j2]Steven R. Shaw, Christopher R. Laughman:
A Method for Nonlinear Least Squares With Structured Residuals. IEEE Trans. Autom. Control. 51(10): 1704-1708 (2006) - 2000
- [j1]Steven R. Shaw, Christopher R. Laughman, Steven B. Leeb, Robert F. Lepard:
A power quality prediction system. IEEE Trans. Ind. Electron. 47(3): 511-517 (2000)
Coauthor Index
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