Richard D. Braatz

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 104

Top Venues

Publications

Fabian Mohr, Moo Sun Hong, Chris D. Castro, Benjamin T. Smith, Jacqueline M. Wolfrum, Stacy L. Springs, Anthony J. Sinskey, Roger A. Hart, Tom Mistretta, Richard D. Braatz
Tensorial approaches combining time series and batch data for the end-to-end batch manufacturing of monoclonal antibodies. Comput. Chem. Eng. 182 (2024)
Pedro Seber, Richard D. Braatz
LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Models. CoRR (2024)
Sebastian Hirt, Andreas Höhl, Joachim Schaeffer, Johannes Pohlodek, Richard D. Braatz, Rolf Findeisen
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging. CoRR (2024)
Prabhat K. Mishra, Joel A. Paulson, Richard D. Braatz
Polynomial Chaos-based Stochastic Model Predictive Control: An Overview and Future Research Directions. CoRR (2024)
Pedro Seber, Richard D. Braatz
Recurrent neural network-based prediction of O-GlcNAcylation sites in mammalian proteins. Comput. Chem. Eng. 189 (2024)
Shimin Wang, Martin Guay, Richard D. Braatz
Nonparametric Steady-state Learning for Robust Output Regulation of Nonlinear Output Feedback Systems. CoRR (2024)
Minsu Kim, Joachim Schaeffer, Marc D. Berliner, Berta Pedret Sagnier, Rolf Findeisen, Richard D. Braatz
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries. CoRR (2024)
Joachim Schaeffer, Giacomo Galuppini, Jinwook Rhyu, Patrick A. Asinger, Robin Droop, Rolf Findeisen, Richard D. Braatz
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More. CoRR (2024)
Liang Wu, Krystian Ganko, Shimin Wang, Richard D. Braatz
An Execution-time-certified Riccati-based IPM Algorithm for RTI-based Input-constrained NMPC. CoRR (2024)
Liang Wu, Richard D. Braatz
penalty-based Soft-constrained MPC. CoRR (2024)
Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz
Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data. Comput. Chem. Eng. 180 (2024)
Jinwook Rhyu, Dragana Bozinovski, Alexis B. Dubs, Naresh Mohan, Elizabeth M. Cummings Bende, Andrew J. Maloney, Miriam Nieves, Jose Sangerman, Amos E. Lu, Moo Sun Hong, Anastasia Artamonova, Rui Wen Ou, Paul W. Barone, James C. Leung, Jacqueline M. Wolfrum, Anthony J. Sinskey, Stacy L. Springs, Richard D. Braatz
Automated outlier detection and estimation of missing data. Comput. Chem. Eng. 180 (2024)
Prakitr Srisuma, George Barbastathis, Richard D. Braatz
Real-time Estimation of Bound Water Concentration during Lyophilization with Temperature-based State Observers. CoRR (2024)
Joachim Schaeffer, Eric Lenz, Duncan Gulla, Martin Z. Bazant, Richard D. Braatz, Rolf Findeisen
Lithium-Ion Battery System Health Monitoring and Fault Analysis from Field Data Using Gaussian Processes. CoRR (2024)
Liang Wu, Krystian Ganko, Richard D. Braatz
Time-certified Input-constrained NMPC via Koopman Operator. CoRR (2024)
Joachim Schaeffer, Paul Gasper, Esteban García Tamayo, Raymond Gasper, Masaki Adachi, Juan Pablo Gaviria-Cardona, Simon Montoya-Bedoya, Anoushka Bhutani, Andrew Schiek, Rhys Goodall, Rolf Findeisen, Richard D. Braatz, Simon Engelke
Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra. CoRR (2023)
Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz
A Polynomial Chaos Approach to Robust Static Output-Feedback Control With Bounded Truncation Error. IEEE Trans. Autom. Control. 68 (1) (2023)
Janine Matschek, Marc D. Berliner, Andreas Himmel, Richard D. Braatz, Rolf Findeisen
Necessary Optimality Conditions for Fast Lithium-ion Battery Charging via Hybrid Simulations. ACC (2023)
Moo Sun Hong, Fabian Mohr, Chris D. Castro, Benjamin T. Smith, Jacqueline M. Wolfrum, Stacy L. Springs, Anthony J. Sinskey, Roger A. Hart, Tom Mistretta, Richard D. Braatz
Smart process analytics for the end-to-end batch manufacturing of monoclonal antibodies. Comput. Chem. Eng. 179 (2023)
Hongbo Zhao, Haitao Dean Deng, Alexander E. Cohen, Jongwoo Lim, Yiyang Li, Dimitrios Fraggedakis, Benben Jiang, Brian D. Storey, William C. Chueh, Richard D. Braatz, Martin Z. Bazant
Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel. Nat. 621 (7978) (2023)
Pavan K. Inguva, Richard D. Braatz
Efficient numerical schemes for multidimensional population balance models. Comput. Chem. Eng. 170 (2023)
Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz
Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data. CoRR (2023)
Anastasia Nikolakopoulou, Richard D. Braatz
Polynomial NARX-based nonlinear model predictive control of modular chemical systems. Comput. Chem. Eng. 177 (2023)
Roland Schurig, Andreas Himmel, Amer Mesanovic, Richard D. Braatz, Rolf Findeisen
Estimating Parameter Regions for Structured Parameter Tuning via Reduced Order Subsystem Models. ACC (2023)
Prakitr Srisuma, George Barbastathis, Richard D. Braatz
Analytical solutions for the modeling, optimization, and control of microwave-assisted freeze drying. Comput. Chem. Eng. 177 (2023)
Prakitr Srisuma, Ajinkya Pandit, Qihang Zhang, Moo Sun Hong, Janaka Gamekkanda, Fabio Fachin, Nathan Moore, Dragan Djordjevic, Michael Schwärzler, Tolutola Oyetunde, Wenlong Tang, Allan S. Myerson, George Barbastathis, Richard D. Braatz
Thermal imaging-based state estimation of a Stefan problem with application to cell thawing. Comput. Chem. Eng. 173 (2023)
Prakitr Srisuma, George Barbastathis, Richard D. Braatz
Mechanistic Modeling and Analysis of Thermal Radiation in Conventional, Microwave-assisted, and Hybrid Freeze Drying for Biopharmaceutical Manufacturing. CoRR (2023)
Marc D. Berliner, Benben Jiang, Daniel A. Cogswell, Martin Z. Bazant, Richard D. Braatz
Fast Charging of Lithium-ion Batteries by Mathematical Reformulation as Mixed Continuous-Discrete Simulation. ACC (2022)
Pil Rip Jeon, Moo Sun Hong, Richard D. Braatz
Compact neural network modeling of nonlinear dynamical systems via the standard nonlinear operator form. Comput. Chem. Eng. 159 (2022)
Anastasia Nikolakopoulou, Moo Sun Hong, Richard D. Braatz
Dynamic state feedback controller and observer design for dynamic artificial neural network models. Autom. 146 (2022)
Pavan K. Inguva, Richard D. Braatz
Efficient Numerical Schemes for Multidimensional Population Balance Models. CoRR (2022)
Joachim Schaeffer, Richard D. Braatz
Latent Variable Method Demonstrator - Software for Understanding Multivariate Data Analytics Algorithms. CoRR (2022)
Pavan K. Inguva, Kaylee C. Schickel, Richard D. Braatz
Efficient numerical schemes for population balance models. Comput. Chem. Eng. 162 (2022)
Joachim Schaeffer, Richard D. Braatz
Latent Variable Method Demonstrator - software for understanding multivariate data analytics algorithms. Comput. Chem. Eng. 167 (2022)
Anastasia Nikolakopoulou, Richard D. Braatz
Fast Nonlinear Model Predictive Control of Distributed Parameter Systems. ACC (2022)
Moo Sun Hong, Richard D. Braatz
Mechanistic modeling and parameter-adaptive nonlinear model predictive control of a microbioreactor. Comput. Chem. Eng. 147 (2021)
Shin Hyuk Kim, Jay H. Lee, Richard D. Braatz
Multi-scale fluid dynamics simulation based on MP-PIC-PBE method for PMMA suspension polymerization. Comput. Chem. Eng. 152 (2021)
Jinwoo Park, Jae Hyun Cho, Richard D. Braatz
Mathematical modeling and analysis of microwave-assisted freeze-drying in biopharmaceutical applications. Comput. Chem. Eng. 153 (2021)
Sandra C. Wells, Anastasia Nikolakopoulou, Richard D. Braatz
State Feedback Control of Discrete-Time Lur'e Systems with Sector-Bounded Slope-Restricted Nonlinearities. ACC (2021)
Hoang Hai Nguyen, Tim Zieger, Sandra C. Wells, Anastasia Nikolakopoulou, Richard D. Braatz, Rolf Findeisen
Stability Certificates for Neural Network Learning-based Controllers using Robust Control Theory. ACC (2021)
Anastasia Nikolakopoulou, Moo Sun Hong, Richard D. Braatz
Output Feedback Control and Observer Design for Dynamic Artificial Neural Networks. ACC (2021)
Hongbo Zhao, Richard D. Braatz, Martin Z. Bazant
Image inversion and uncertainty quantification for constitutive laws of pattern formation. J. Comput. Phys. 436 (2021)
Richard D. Braatz, Thomas A. Badgwell, Phillip R. Westmoreland
Foundations in Process Analytics and Machine Learning (FOPAM). Comput. Chem. Eng. 146 (2021)
Weike Sun, Richard D. Braatz
Smart process analytics for predictive modeling. Comput. Chem. Eng. 144 (2021)
Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz
Static Output-Feedback Control with Bounded Truncation Error. CoRR (2021)
Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz
Polynomial chaos-based H2 output-feedback control of systems with probabilistic parametric uncertainties. Autom. 131 (2021)
Anastasia Nikolakopoulou, Matthias von Andrian, Richard D. Braatz
Fast Model Predictive Control of Startup of a Compact Modular Reconfigurable System for Continuous-Flow Pharmaceutical Manufacturing. ACC (2020)
Weike Sun, Richard D. Braatz
ALVEN: Algebraic learning via elastic net for static and dynamic nonlinear model identification. Comput. Chem. Eng. 143 (2020)
Peter M. Attia, Aditya Grover, Norman Jin, Kristen A. Severson, Todor M. Markov, Yang-Hung Liao, Michael H. Chen, Bryan Cheong, Nicholas Perkins, Zi Yang, Patrick K. Herring, Muratahan Aykol, Stephen J. Harris, Richard D. Braatz, Stefano Ermon, William C. Chueh
Closed-loop optimization of fast-charging protocols for batteries with machine learning. Nat. 578 (7795) (2020)
Matthias von Andrian, Richard D. Braatz
Stochastic Dynamic Optimization and Model Predictive Control based on Polynomial Chaos Theory and Symbolic Arithmetic. ACC (2020)
Shin Hyuk Kim, Jay H. Lee, Richard D. Braatz
Multi-phase particle-in-cell coupled with population balance equation (MP-PIC-PBE) method for multiscale computational fluid dynamics simulation. Comput. Chem. Eng. 134 (2020)
Joel A. Paulson, Edward A. Buehler, Richard D. Braatz, Ali Mesbah
Stochastic model predictive control with joint chance constraints. Int. J. Control 93 (1) (2020)
Anastasia Nikolakopoulou, Moo Sun Hong, Richard D. Braatz
Feedback Control of Dynamic Artificial Neural Networks Using Linear Matrix Inequalities. CDC (2020)
Weike Sun, Richard D. Braatz
Opportunities in tensorial data analytics for chemical and biological manufacturing processes. Comput. Chem. Eng. 143 (2020)
Ali Mesbah, Joel A. Paulson, Richard D. Braatz
An internal model control design method for failure-tolerant control with multiple objectives. Comput. Chem. Eng. 140 (2020)
Patrick K. Herring, Chirranjeevi Balaji Gopal, Muratahan Aykol, Joseph Montoya, Abraham Anapolsky, Peter M. Attia, William Gent, Jens S. Hummelshøj, Linda Hung, Ha-Kyung Kwon, Patrick Moore, Daniel Schweigert, Kristen A. Severson, Santosh Suram, Zi Yang, Richard D. Braatz, Brian D. Storey
BEEP: A Python library for Battery Evaluation and Early Prediction. SoftwareX 11 (2020)
Weike Sun, Antonio R. C. Paiva, Peng Xu, Anantha Sundaram, Richard D. Braatz
Fault detection and identification using Bayesian recurrent neural networks. Comput. Chem. Eng. 141 (2020)
Pedro Reyero-Santiago, Carlos Ocampo-Martinez, Richard D. Braatz
Nonlinear Dynamical Analysis for an Ethanol Steam Reformer: A Singular Distributed Parameter System. CDC (2020)
Fridolin Röder, Richard D. Braatz, Ulrike Krewer
Direct coupling of continuum and kinetic Monte Carlo models for multiscale simulation of electrochemical systems. Comput. Chem. Eng. 121 (2019)
Matthias von Andrian, Richard D. Braatz
Offset-free Input-Output Formulations of Stochastic Model Predictive Control Based on Polynomial Chaos Theory. ACC (2019)
Andrea Pozzi, Marcello Torchio, Richard D. Braatz, Davide Martino Raimondo
Optimal Charging of an Electric Vehicle Battery Pack: A Real-Time Sensitivity-Based MPC approach. CoRR (2019)
Weike Sun, Antonio R. C. Paiva, Peng Xu, Anantha Sundaram, Richard D. Braatz
Fault Detection and Identification using Bayesian Recurrent Neural Networks. CoRR (2019)
Anastasia Nikolakopoulou, Matthias von Andrian, Richard D. Braatz
Plantwide Control of a Compact Modular Reconfigurable System for Continuous- Flow Pharmaceutical Manufacturing. ACC (2019)
Lauren F. I. Farias, Jeferson A. Souza, Richard D. Braatz, Cezar A. da Rosa
Coupling of the population balance equation into a two-phase model for the simulation of combined cooling and antisolvent crystallization using OpenFOAM. Comput. Chem. Eng. 123 (2019)
Gintaras V. Reklaitis, Richard D. Braatz, Marianthi Ierapetritou
Special issue on pharmaceutical manufacturing. Comput. Chem. Eng. 129 (2019)
Yiming Wan, Richard D. Braatz
Mixed Polynomial Chaos and Worst-Case Synthesis Approach to Robust Observer based Linear Quadratic Regulation. ACC (2018)
Yiming Wan, Vicenç Puig, Carlos Ocampo-Martinez, Ye Wang, Richard D. Braatz
Probability-Guaranteed Set-Membership State Estimation for Polynomially Uncertain Linear Time-Invariant Systems. CDC (2018)
Kwang-Ki K. Kim, Ernesto Rios-Patron, Richard D. Braatz
Standard representation and unified stability analysis for dynamic artificial neural network models. Neural Networks 98 (2018)
Moo Sun Hong, Kristen A. Severson, Mo Jiang, Amos E. Lu, J. Christopher Love, Richard D. Braatz
Challenges and opportunities in biopharmaceutical manufacturing control. Comput. Chem. Eng. 110 (2018)
Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz
Output-Feedback Control Using Polynomial Chaos. ACC (2018)
Joel A. Paulson, Tor Aksel N. Heirung, Richard D. Braatz, Ali Mesbah
Closed-Loop Active Fault Diagnosis for Stochastic Linear Systems. ACC (2018)
Richard D. Braatz, Jordan M. Berg, Zongli Lin, Frank Allgöwer
Welcome to the ACC2018. ACC (2018)
Qiugang Lu, Benben Jiang, R. Bhushan Gopaluni, Philip D. Loewen, Richard D. Braatz
Locality preserving discriminative canonical variate analysis for fault diagnosis. Comput. Chem. Eng. 117 (2018)
Sergio Lucia, Marcello Torchio, Davide Martino Raimondo, Reinhardt Klein, Richard D. Braatz, Rolf Findeisen
Towards adaptive health-aware charging of Li-ion batteries: A real-time predictive control approach using first-principles models. ACC (2017)
Kristen A. Severson, Brinda Monian, J. Christopher Love, Richard D. Braatz
A method for learning a sparse classifier in the presence of missing data for high-dimensional biological datasets. Bioinform. 33 (18) (2017)
Sergio Lucia, Joel A. Paulson, Rolf Findeisen, Richard D. Braatz
On stability of stochastic linear systems via polynomial chaos expansions. ACC (2017)
Yiming Wan, Eranda Harinath, Richard D. Braatz
A piecewise polynomial chaos approach to stochastic linear quadratic regulation for systems with probabilistic parametric uncertainties. CDC (2017)
Eranda Harinath, Lucas C. Foguth, Richard D. Braatz
A robust dual-mode MPC approach to ensuring critical quality attributes in Quality-by-Design. ACC (2016)
Lixian Zhang, Songlin Zhuang, Richard D. Braatz
Switched model predictive control of switched linear systems: Feasibility, stability and robustness. Autom. 67 (2016)
Rolf Findeisen, Martha A. Grover, Christian Wagner, Michael Maiworm, Ruslan Temirov, F. Stefan Tautz, Murti V. Salapaka, Srinivasa M. Salapaka, Richard D. Braatz, S. O. Reza Moheimani
Control on a molecular scale: A perspective. ACC (2016)
Eranda Harinath, Lucas C. Foguth, Joel A. Paulson, Richard D. Braatz
Nonlinear model predictive control using polynomial optimization methods. ACC (2016)
Richard D. Braatz
Advanced Manufacturing of Biopharmaceuticals. ICINCO (1) (2016)
Tillmann Muhlpfordt, Joel A. Paulson, Richard D. Braatz, Rolf Findeisen
Output feedback model predictive control with probabilistic uncertainties for linear systems. ACC (2016)
Joel A. Paulson, Venkatasailanathan Ramadesigan, Venkat R. Subramanian, Richard D. Braatz
Control systems analysis and design of multiscale simulation models. ACC (2016)
Marcello Torchio, Carlos Ocampo-Martinez, Lalo Magni, Maria Serra Prat, Richard D. Braatz, Davide Martino Raimondo
Fast Model Predictive Control for hydrogen outflow regulation in Ethanol Steam Reformers. ACC (2016)
Kristen A. Severson, Paphonwit Chaiwatanodom, Richard D. Braatz
Perspectives on process monitoring of industrial systems. Annu. Rev. Control. 42 (2016)
Michael L. Rasche, Mo Jiang, Richard D. Braatz
Mathematical modeling and optimal design of multi-stage slug-flow crystallization. Comput. Chem. Eng. 95 (2016)
Marcello Torchio, Lalo Magni, Richard D. Braatz, Davide Martino Raimondo
Optimal charging of a Li-ion cell: A hybrid Model Predictive Control approach. CDC (2016)
Amos E. Lu, Joel A. Paulson, Richard D. Braatz
pH and conductivity control in an integrated biomanufacturing plant. ACC (2016)
Eranda Harinath, Lucas C. Foguth, Richard D. Braatz
Maximization of ellipsoidal design space for continuous-time systems: A robust optimal control approach. ACC (2016)
Joseph K. Scott, Davide Martino Raimondo, Giuseppe Roberto Marseglia, Richard D. Braatz
Constrained zonotopes: A new tool for set-based estimation and fault detection. Autom. 69 (2016)
Davide Martino Raimondo, Giuseppe Roberto Marseglia, Richard D. Braatz, Joseph K. Scott
Closed-loop input design for guaranteed fault diagnosis using set-valued observers. Autom. 74 (2016)
Masako Kishida, Richard D. Braatz
On the Analysis of the Eigenvalues of Uncertain Matrices by μ and ν: Applications to Bifurcation Avoidance and Convergence Rates. IEEE Trans. Autom. Control. 61 (3) (2016)
Hong Jang, Kwang-Ki K. Kim, Richard D. Braatz, R. Bhushan Gopaluni, Jay H. Lee
Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks. Comput. Chem. Eng. 90 (2016)
Ali Mesbah, Joel A. Paulson, Richard Lakerveld, Richard D. Braatz
Plant-wide model predictive control for a continuous pharmaceutical process. ACC (2015)
Lucas C. Foguth, Joel A. Paulson, Richard D. Braatz, Davide Martino Raimondo
Fast robust model predictive control of high-dimensional systems. ECC (2015)
Kwang Ki Kevin Kim, Richard D. Braatz
Stability Analysis of Discrete-time Lure Systems with Slope-restricted Odd Monotonic Nonlinearities. CoRR (2015)
Joel A. Paulson, Edward A. Buehler, Richard D. Braatz, Ali Mesbah
Receding-horizon Stochastic Model Predictive Control with Hard Input Constraints and Joint State Chance Constraints. CoRR (2015)
Marcello Torchio, Nicolas A. Wolff, Davide Martino Raimondo, Lalo Magni, Ulrike Krewer, R. Bhushan Gopaluni, Joel A. Paulson, Richard D. Braatz
Real-time model predictive control for the optimal charging of a lithium-ion battery. ACC (2015)
Amos E. Lu, Joel A. Paulson, Nicholas J. Mozdzierz, Alan Stockdale, Ashlee N. Ford Versypt, Kerry R. Love, J. Christopher Love, Richard D. Braatz
Control systems technology in the advanced manufacturing of biologic drugs. CCA (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Richard D. Braatz