Christopher R. Laughman

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 21

Top Topics

Optimization Problems

Decision Diagrams

Qualitative Physics

Top Venues

IEEE Control. Syst. Lett.

Publications

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) (2023)
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)
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)
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)
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 (2023)
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 (2023)
Vedang M. Deshpande, Christopher R. Laughman, Yingbo Ma, Chris Rackauckas
Constrained Smoothers for State Estimation of Vapor Compression Cycles. ACC (2022)
Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman
Meta-Learning of Neural State-Space Models Using Data From Similar Systems. CoRR (2022)
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)
Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman
Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins. CoRR (2021)
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 (2021)
Ankush Chakrabarty, Scott A. Bortoff, Christopher R. Laughman
Simulation Failure Robust Bayesian Optimization for Estimating Black-Box Model Parameters. SMC (2021)
Daniel J. Burns, Christopher R. Laughman, Martin Guay
Proportional-Integral Extremum Seeking for Vapor Compression Systems. IEEE Trans. Control. Syst. Technol. 28 (2) (2020)
Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis
Heat Exchanger Circuitry Design by Decision Diagrams. CPAIOR (2019)
Scott A. Bortoff, Christopher R. Laughman
An Extended Luenberger Observer for HVAC Application using FMI. Modelica (2019)
Hongtao Qiao, Xu Han, Saleh Nabi, Christopher R. Laughman
Coupled Simulation of a Room Air-conditioner with CFD Models for Indoor Environment. Modelica (2019)
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)
Martin Otter, Hilding Elmqvist, Dirk Zimmer, Christopher R. Laughman
Thermodynamic Property and Fluid Modeling with Modern Programming Language Construct. Modelica (2019)
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)
Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis
Optimization of circuitry arrangements for heat exchangers using derivative-free optimization. CoRR (2017)
Daniel J. Burns, Christopher R. Laughman, Martin Guay
Proportional-integral extremum seeking for vapor compression systems. ACC (2016)
Steven R. Shaw, Christopher R. Laughman
A Kalman-Filter Spectral Envelope Preprocessor. IEEE Trans. Instrum. Meas. 56 (5) (2007)
Steven R. Shaw, Christopher R. Laughman
A Method for Nonlinear Least Squares With Structured Residuals. IEEE Trans. Autom. Control. 51 (10) (2006)
Steven R. Shaw, Christopher R. Laughman, Steven B. Leeb, Robert F. Lepard
A power quality prediction system. IEEE Trans. Ind. Electron. 47 (3) (2000)