Robust performance of cross-directional basis-weight control in paper machines. - Daniel L. Laughlin; Manfred Morari; Richard D. Braatz (Autom., 1993)

Screening tools for robust control structure selection. - Jay H. Lee; Richard D. Braatz; Manfred Morari; Andrew K. Packard (Autom., 1995)

SVD controllers for H2-, H∞- and μ-optimal control. - Morten Hovd; Richard D. Braatz; Sigurd Skogestad (Autom., 1997)

On the "Identification and control of dynamical systems using neural networks". - Ernesto Rios-Patron; Richard D. Braatz (IEEE Trans. Neural Networks, 1997)

Linear and bilinear matrix inequalities in chemical process control. - Jeremy G. Van Antwerp; Richard D. Braatz (ECC, 1999)

Worst-case performance analysis of optimal batch control trajectories. - David L. Ma; S. H. Chung; Richard D. Braatz (ECC, 1999)

When is constrained control necessary for large scale processes? - Jeremy G. Van Antwerp; David L. Ma; Richard D. Braatz (ACC, 2000)

Robust batch control of crystallization processes. - David L. Ma; Richard D. Braatz (ACC, 2000)

A bilinear matrix inequality approach to robust nonlinear process control. - Timokleia Togkalidou; Richard D. Braatz (ACC, 2000)

A robust chemometrics approach to inferential estimation of supersaturation. - Timokleia Togkalidou; Mitsuko Fujiwara; Shefali Patel; Richard D. Braatz (ACC, 2000)

Fast model predictive control of sheet and film processes. - Jeremy G. VanAntwerp; Richard D. Braatz (IEEE Trans. Control. Syst. Technol., 2000)

Handling state and output constraints in MPC using time-dependent weights. - Morten Hovd; Richard D. Braatz (ACC, 2001)

Robustness analysis of multivariable systems with time delays. - Rudiyanto Gunawan; E. L. Russell; Richard D. Braatz (ECC, 2001)

Worst-case analysis of finite-time control policies. - David L. Ma; Richard D. Braatz (IEEE Trans. Control. Syst. Technol., 2001)

Run-to-run control of multidimensional crystal size distribution in a batch crystallizer. - Kangwook Lee 007; Jay H. Lee; Mitsuko Fujiwara; David L. Ma; Richard D. Braatz (ACC, 2002)

Advanced control of crystallization processes. - Richard D. Braatz (Annu. Rev. Control., 2002)

Robust identification and control of batch processes. - David L. Ma; Richard D. Braatz (Comput. Chem. Eng., 2003)

Worst-case and distributional robustness analysis of finite-time control trajectories for nonlinear distributed parameter systems. - Zoltán K. Nagy; Richard D. Braatz (IEEE Trans. Control. Syst. Technol., 2003)

Control systems analysis of a multiscale simulation code for copper electrodeposition. - Effendi Rusli; Timothy O. Drews; Richard D. Braatz (ACC, 2004)

Discussion on: "Design of Cross-Directional Controllers with Optimal Steady State Performance". - Jeremy G. VanAntwerp; Richard D. Braatz (Eur. J. Control, 2004)

Worst-case and distributional robustness analysis of the full molecular weight distribution during free radical bulk polymerization. - E. J. Hukkanen; Richard D. Braatz (ACC, 2005)

Identification of particle-particle interactions in suspension polymerization reactors. - Eric J. Hukkanen; Richard D. Braatz (ACC, 2005)

Maximum likelihood estimation of multiple-bond kinetics from single-molecule pulling experiments. - E. J. Hukkanen; J. A. Wieland; Deborah E. Leckband; Richard D. Braatz (ACC, 2005)

Robust nonlinear feedback-feedforward control of a coupled kinetic Monte Carlo-finite difference simulation. - Effendi Rusli; Timothy O. Drews; David L. Ma; Richard C. Alkirc; Richard D. Braatz (ACC, 2005)

Maximum A Posteriori Estimation of Energetics in Silicon Self-diffusion. - Charlotte T. M. Kwok; Kapil Dev; Edmund G. Seebauer; Richard D. Braatz (CDC/ECC, 2005)

Multiscale simulations of copper electrodeposition onto a resistive substrate. - Timothy O. Drews; Sriram Krishnan; Jay Alameda; Dennis Gannon; Richard D. Braatz; Richard C. Alkire (IBM J. Res. Dev., 2005)

A multiscale systems approach to microelectronic processes. - Richard D. Braatz; Richard C. Alkire; Edmund G. Seebauer; Timothy O. Drews; Effendi Rusli; Mohan Karulkar; Feng Xue; Yan Qin; Michael Y. L. Jung; Rudiyanto Gunawan (Comput. Chem. Eng., 2006)

Optimal Control of Polymorphic Transformation in Batch Pharmaceutical Crystallization. - Martin Wijaya Hermanto; Richard D. Braatz; Min-Sen Chiu (CCA, 2007)

Cross-directional control of sheet and film processes. - Jeremy G. VanAntwerp; Andrew P. Featherstone; Richard D. Braatz; Babatunde A. Ogunnaike (Autom., 2007)

Discussion on: "GPC Robust Design Using Linear and/or Bilinear Matrix Inequalities". - Jeremy G. VanAntwerp; Richard D. Braatz; Teodoro Alamo; David Muñoz de la Peña; Ignacio Alvarado; Daniel Limón (Eur. J. Control, 2007)

Piecewise Linear Dynamic Programming for Constrained POMDPs. - Joshua D. Isom; Sean P. Meyn; Richard D. Braatz (AAAI, 2008)

Optimal control of cellular uptake in tissue engineering. - Masako Kishida; Ashlee N. Ford; Daniel W. Pack; Richard D. Braatz (ACC, 2008)

Internal model control of infinite dimensional systems. - Masako Kishida; Richard D. Braatz (CDC, 2008)

Maximum a posteriori estimation of activation energies that control silicon self-diffusion. - Charlotte T. M. Kwok; Kapil Dev; Edmund G. Seebauer; Richard D. Braatz (Autom., 2008)

A hybrid multiscale kinetic Monte Carlo method for simulation of copper electrodeposition. - Zheming Zheng; Ryan M. Stephens; Richard D. Braatz; Richard C. Alkire; Linda R. Petzold (J. Comput. Phys., 2008)

Optimal spatial field control of distributed parameter systems. - Masako Kishida; Richard D. Braatz (ACC, 2009)

Polynomial-time solution of change detection problems. - Joshua D. Isom; Robert E. LaBarre; Richard D. Braatz (CDC, 2009)

RBF-based 2D optimal spatial control of the 3D reaction-convection-diffusion equation. - Masako Kishida; Richard D. Braatz (ECC, 2009)

State-constrained optimal spatial field control for controlled release in tissue engineering. - Masako Kishida; Daniel W. Pack; Richard D. Braatz (ACC, 2010)

Optimal spatial distribution of microstructure in porous electrodes for Li-ion batteries. - Ravi N. Methekar; Vijayasekaran Boovaragavan; Mounika Arabandi; Venkatasailanathan Ramadesigan; Venkat R. Subramanian 001; Folarin Latinwo; Richard D. Braatz (ACC, 2010)

Structured spatial control of the reaction-diffusion equation with parametric uncertainties. - Masako Kishida; Richard D. Braatz (CACSD, 2010)

Distributional uncertainty analysis using polynomial chaos expansions. - Zoltán K. Nagy; Richard D. Braatz (CACSD, 2010)

Parameter identifiability in parallel reaction networks with application to single-walled carbon nanotubes. - Kejia Chen 003; Masako Kishida; Nitish Nair; Michael S. Strano; Richard D. Braatz (ACC, 2011)

Observer-based output feedback control of discrete-time Lur'e systems with sector-bounded slope-restricted nonlinearities. - Kwang Ki Kevin Kim; Richard D. Braatz (ACC, 2011)

Kinetic Monte Carlo simulation of surface heterogeneity in graphite anodes for lithium-ion batteries: Passive layer formation. - Ravi N. Methekar; Paul W. C. Northrop; Kejia Chen 003; Richard D. Braatz; Venkat R. Subramanian 001 (ACC, 2011)

Universal approximation with error bounds for dynamic artificial neural network models: A tutorial and some new results. - Kwang Ki Kevin Kim; Ernesto Rios-Patron; Richard D. Braatz (CACSD, 2011)

Standard representation and stability analysis of dynamic artificial neural networks: A unified approach. - Kwang Ki Kevin Kim; Ernesto Rios-Patron; Richard D. Braatz (CACSD, 2011)

Ellipsoid bounds on state trajectories for discrete-time systems with time-invariant and time-varying linear fractional uncertainties. - Masako Kishida; Richard D. Braatz (CDC/ECC, 2011)

Generalized polynomial chaos expansion approaches to approximate stochastic receding horizon control with applications to probabilistic collision checking and avoidance. - Kwang Ki Kevin Kim; Richard D. Braatz (CCA, 2012)

Identification of nucleation rates in droplet-based microfluidic systems. - Kejia Chen 003; Limay Goh; Guangwen He; Paul J. A. Kenis; Charles F. Zukoski; Richard D. Braatz (ACC, 2012)

Model-based simultaneous optimization of multiple design parameters for lithium-ion batteries for maximization of energy density. - Sumitava De; Paul W. C. Northrop; Venkatasailanathan Ramadesigan; Richard D. Braatz; Venkat R. Subramanian 001 (ACC, 2012)

Probabilistic analysis and control of uncertain dynamic systems: Generalized polynomial chaos expansion approaches. - Kwang Ki Kevin Kim; Richard D. Braatz (ACC, 2012)

A model-based approach for the construction of design spaces in quality-by-design. - Masako Kishida; Richard D. Braatz (ACC, 2012)

Systems nanotechnology: Identification, estimation, and control of nanoscale systems. - Zachary W. Ulissi; Mark C. Molaro; Michael S. Strano; Richard D. Braatz (ACC, 2012)

Continuous- and discrete-time D-stability, joint D-stability, and their applications: μ theory and diagonal stability approaches. - Kwang Ki Kevin Kim; Richard D. Braatz (CDC, 2012)

Convex relaxation of sequential optimal input design for a class of structured large-scale systems: process gain estimation. - Kwang Ki Kevin Kim; Richard D. Braatz (ACC, 2013)

Robustness analysis of uncertain linear descriptor systems: Unified approaches using gLFTs, LMIs, and μ. - Kwang Ki Kevin Kim; Richard D. Braatz (ACC, 2013)

Inversion-based output regulation of chemotaxis using a constrained influx of chemical signaling molecules. - Masako Kishida; Richard D. Braatz (ACC, 2013)

Quality-by-design by using the skewed spherical structured singular value. - Masako Kishida; Richard D. Braatz (ACC, 2013)

Design of active inputs for set-based fault diagnosis. - Joseph K. Scott; Rolf Findeisen; Richard D. Braatz; Davide Martino Raimondo (ACC, 2013)

Optimal control and state estimation of lithium-ion batteries using reformulated models. - Bharatkumar Suthar; Venkatasailanathan Ramadesigan; Paul W. C. Northrop; R. Bhushan Gopaluni; Shriram Santhanagopalan; Richard D. Braatz; Venkat R. Subramanian 001 (ACC, 2013)

A characterization of solutions for general copositive quadratic Lyapunov inequalities. - Kwang Ki Kevin Kim; Richard D. Braatz (CDC, 2013)

Computational complexity of robust control: A review of theoretical and algorithmic developments. - Kwang Ki Kevin Kim; Richard D. Braatz (CDC, 2013)

Design of multi-objective failure-tolerant control systems for infinite-dimensional systems. - Ali Mesbah 002; Masako Kishida; Richard D. Braatz (CDC, 2013)

A hybrid stochastic-deterministic input design method for active fault diagnosis. - Joseph K. Scott; Giuseppe Roberto Marseglia; Lalo Magni; Richard D. Braatz; Davide Martino Raimondo (CDC, 2013)

On switched MPC of a class of switched linear systems with modal dwell time. - Lixian Zhang; Richard D. Braatz (CDC, 2013)

Design of multi-objective control systems with optimal failure tolerance. - Ali Mesbah 002; Richard D. Braatz (ECC, 2013)

Semidefinite programming relaxation of optimum active input design for fault detection and diagnosis: Model-based finite horizon prediction. - Kwang-Ki K. Kim; Richard D. Braatz (ECC, 2013)

Optimum input design for fault detection and diagnosis: Model-based prediction and statistical distance measures. - Kwang-Ki K. Kim; Davide Martino Raimondo; Richard D. Braatz (ECC, 2013)

Active fault diagnosis using moving horizon input design. - Davide Martino Raimondo; Richard D. Braatz; Joseph K. Scott (ECC, 2013)

Control of nano and microchemical systems. - Zachary W. Ulissi; Michael S. Strano; Richard D. Braatz (Comput. Chem. Eng., 2013)

Generalised polynomial chaos expansion approaches to approximate stochastic model predictive control. - Kwang-Ki K. Kim; Richard D. Braatz (Int. J. Control, 2013)

Stochastic nonlinear model predictive control with probabilistic constraints. - Ali Mesbah 002; Stefan Streif; Rolf Findeisen; Richard D. Braatz (ACC, 2014)

Sparse identification in chemical master equations for monomolecular reaction networks. - Kwang Ki Kevin Kim; Hong Jang; R. Bhushan Gopaluni; Jay H. Lee; Richard D. Braatz (ACC, 2014)

Non-existence conditions of local bifurcations for rational systems with structured uncertainties. - Masako Kishida; Richard D. Braatz (ACC, 2014)

The application of an automated plant-wide control strategy for a continuous pharmaceutical pilot plant. - Richard Lakerveld; Brahim Benyahia; Patrick L. Heider; Haitao Zhang; Aaron Wolfe; Chris Testa; Sean Ogden; Devin R. Hersey; Salvatore Mascia; James M. B. Evans; Richard D. Braatz; Paul I. Barton (ACC, 2014)

Volume maximization of consistent parameter sets for linear fractional models. - Masako Kishida; Richard D. Braatz (CDC, 2014)

Fast stochastic model predictive control of high-dimensional systems. - Joel A. Paulson; Ali Mesbah 002; Stefan Streif; Rolf Findeisen; Richard D. Braatz (CDC, 2014)

Guaranteed active fault diagnosis for uncertain nonlinear systems. - Joel A. Paulson; Davide Martino Raimondo; Rolf Findeisen; Richard D. Braatz; Stefan Streif (ECC, 2014)

Input design for guaranteed fault diagnosis using zonotopes. - Joseph K. Scott; Rolf Findeisen; Richard D. Braatz; Davide Martino Raimondo (Autom., 2014)

Special issue in Honor of Manfred Morari's 60th Birthday. - Richard D. Braatz; Jay H. Lee (Comput. Chem. Eng., 2014)

Fast moving horizon estimation for a two-dimensional distributed parameter system. - Hong Jang; Jay H. Lee; Richard D. Braatz; Kwang Ki Kevin Kim (Comput. Chem. Eng., 2014)

Computational complexity and related topics of robustness margin calculation using μ theory: A review of theoretical developments. - Kwang Ki Kevin Kim; Richard D. Braatz (Comput. Chem. Eng., 2014)

Necessary and sufficient conditions for robust reliable control in the presence of model uncertainties and system component failures. - Kwang Ki Kevin Kim; Sigurd Skogestad; Manfred Morari; Richard D. Braatz (Comput. Chem. Eng., 2014)

Analysis of finite difference discretization schemes for diffusion in spheres with variable diffusivity. - Ashlee N. Ford Versypt; Richard D. Braatz (Comput. Chem. Eng., 2014)

Efficient Polynomial-Time Outer Bounds on State Trajectories for Uncertain Polynomial Systems Using Skewed Structured Singular Values. - Masako Kishida; Philipp Rumschinski; Rolf Findeisen; Richard D. Braatz (IEEE Trans. Autom. Control., 2014)

Control systems technology in the advanced manufacturing of biologic drugs. - Amos E. Lu; Joel A. Paulson; Nicholas J. Mozdzierz; Alan Stockdale; Ashlee N. Ford Versypt; Kerry R. Love; J. Christopher Love; Richard D. Braatz (CCA, 2015)

Plant-wide model predictive control for a continuous pharmaceutical process. - Ali Mesbah 002; Joel A. Paulson; Richard Lakerveld; Richard D. Braatz (ACC, 2015)

Robust optimal control for the maximization of design space. - Eranda Harinath; Lucas C. Foguth; Richard D. Braatz (ACC, 2015)

Real-time model predictive control for the optimal charging of a lithium-ion battery. - Marcello Torchio; Nicolas A. Wolff; Davide Martino Raimondo; Lalo Magni; Ulrike Krewer; R. Bhushan Gopaluni; Joel A. Paulson; Richard D. Braatz (ACC, 2015)

Controlled seeding from multiple micromixers for tailoring the product size distribution in a semi-continuous crystallizer design. - Lifang Zhou; Xiaoxiang Zhu 005; Richard D. Braatz (ACC, 2015)

Fast robust model predictive control of high-dimensional systems. - Lucas C. Foguth; Joel A. Paulson; Richard D. Braatz; Davide Martino Raimondo (ECC, 2015)

A combined canonical variate analysis and Fisher discriminant analysis (CVA-FDA) approach for fault diagnosis. - Benben Jiang; Xiaoxiang Zhu 005; Dexian Huang; Joel A. Paulson; Richard D. Braatz (Comput. Chem. Eng., 2015)

Elastic net with Monte Carlo sampling for data-based modeling in biopharmaceutical manufacturing facilities. - Kristen A. Severson; Jeremy G. VanAntwerp; Venkatesh Natarajan; Chris Antoniou; Jörg Thömmes; Richard D. Braatz (Comput. Chem. Eng., 2015)

Stability Analysis of Discrete-time Lure Systems with Slope-restricted Odd Monotonic Nonlinearities. - Kwang Ki Kevin Kim; Richard D. Braatz (CoRR, 2015)

Receding-horizon Stochastic Model Predictive Control with Hard Input Constraints and Joint State Chance Constraints. - Joel A. Paulson; Edward A. Buehler; Richard D. Braatz; Ali Mesbah 002 (CoRR, 2015)

Control on a molecular scale: A perspective. - Rolf Findeisen; Martha A. Grover; Christian Wagner 007; Michael Maiworm; Ruslan Temirov; F. Stefan Tautz; Murti V. Salapaka; Srinivasa M. Salapaka; Richard D. Braatz; S. O. Reza Moheimani (ACC, 2016)

A robust dual-mode MPC approach to ensuring critical quality attributes in Quality-by-Design. - Eranda Harinath; Lucas C. Foguth; Richard D. Braatz (ACC, 2016)

Maximization of ellipsoidal design space for continuous-time systems: A robust optimal control approach. - Eranda Harinath; Lucas C. Foguth; Richard D. Braatz (ACC, 2016)

Nonlinear model predictive control using polynomial optimization methods. - Eranda Harinath; Lucas C. Foguth; Joel A. Paulson; Richard D. Braatz (ACC, 2016)

pH and conductivity control in an integrated biomanufacturing plant. - Amos E. Lu; Joel A. Paulson; Richard D. Braatz (ACC, 2016)

Output feedback model predictive control with probabilistic uncertainties for linear systems. - Tillmann Muhlpfordt; Joel A. Paulson; Richard D. Braatz; Rolf Findeisen (ACC, 2016)

Control systems analysis and design of multiscale simulation models. - Joel A. Paulson; Venkatasailanathan Ramadesigan; Venkat R. Subramanian 001; Richard D. Braatz (ACC, 2016)

Fast Model Predictive Control for hydrogen outflow regulation in Ethanol Steam Reformers. - Marcello Torchio; Carlos Ocampo-Martinez; Lalo Magni; Maria Serra Prat; Richard D. Braatz; Davide Martino Raimondo (ACC, 2016)

Optimal charging of a Li-ion cell: A hybrid Model Predictive Control approach. - Marcello Torchio; Lalo Magni; Richard D. Braatz; Davide Martino Raimondo (CDC, 2016)

Advanced Manufacturing of Biopharmaceuticals. - Richard D. Braatz (ICINCO (1), 2016)

Perspectives on process monitoring of industrial systems. - Kristen A. Severson; Paphonwit Chaiwatanodom; Richard D. Braatz (Annu. Rev. Control., 2016)

Closed-loop input design for guaranteed fault diagnosis using set-valued observers. - Davide Martino Raimondo; Giuseppe Roberto Marseglia; Richard D. Braatz; Joseph K. Scott (Autom., 2016)

Constrained zonotopes: A new tool for set-based estimation and fault detection. - Joseph K. Scott; Davide Martino Raimondo; Giuseppe Roberto Marseglia; Richard D. Braatz (Autom., 2016)

Switched model predictive control of switched linear systems: Feasibility, stability and robustness. - Lixian Zhang; Songlin Zhuang; Richard D. Braatz (Autom., 2016)

Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks. - Hong Jang; Kwang-Ki K. Kim; Richard D. Braatz; R. Bhushan Gopaluni; Jay H. Lee (Comput. Chem. Eng., 2016)

Mathematical modeling and optimal design of multi-stage slug-flow crystallization. - Michael L. Rasche; Mo Jiang; Richard D. Braatz (Comput. Chem. Eng., 2016)

On the Analysis of the Eigenvalues of Uncertain Matrices by μ and ν: Applications to Bifurcation Avoidance and Convergence Rates. - Masako Kishida; Richard D. Braatz (IEEE Trans. Autom. Control., 2016)

On stability of stochastic linear systems via polynomial chaos expansions. - Sergio Lucia; Joel A. Paulson; Rolf Findeisen; Richard D. Braatz (ACC, 2017)

Towards adaptive health-aware charging of Li-ion batteries: A real-time predictive control approach using first-principles models. - Sergio Lucia; Marcello Torchio; Davide Martino Raimondo; Reinhardt Klein; Richard D. Braatz; Rolf Findeisen (ACC, 2017)

A piecewise polynomial chaos approach to stochastic linear quadratic regulation for systems with probabilistic parametric uncertainties. - Yiming Wan; Eranda Harinath; Richard D. Braatz (CDC, 2017)

A method for learning a sparse classifier in the presence of missing data for high-dimensional biological datasets. - Kristen A. Severson; Brinda Monian; J. Christopher Love; Richard D. Braatz (Bioinform., 2017)

Welcome to the ACC2018. - Richard D. Braatz; Jordan M. Berg; Zongli Lin; Frank Allgöwer (ACC, 2018)

Closed-Loop Active Fault Diagnosis for Stochastic Linear Systems. - Joel A. Paulson; Tor Aksel N. Heirung; Richard D. Braatz; Ali Mesbah 002 (ACC, 2018)

Mixed Polynomial Chaos and Worst-Case Synthesis Approach to Robust Observer based Linear Quadratic Regulation. - Yiming Wan; Richard D. Braatz (ACC, 2018)

Robust Static H∞ Output-Feedback Control Using Polynomial Chaos. - Yiming Wan; Dongying E. Shen; Sergio Lucia; Rolf Findeisen; Richard D. Braatz (ACC, 2018)

Probability-Guaranteed Set-Membership State Estimation for Polynomially Uncertain Linear Time-Invariant Systems. - Yiming Wan; Vicenç Puig; Carlos Ocampo-Martinez; Ye Wang 005; Richard D. Braatz (CDC, 2018)

Challenges and opportunities in biopharmaceutical manufacturing control. - Moo Sun Hong; Kristen A. Severson; Mo Jiang; Amos E. Lu; J. Christopher Love; Richard D. Braatz (Comput. Chem. Eng., 2018)

Locality preserving discriminative canonical variate analysis for fault diagnosis. - Qiugang Lu; Benben Jiang; R. Bhushan Gopaluni; Philip D. Loewen; Richard D. Braatz (Comput. Chem. Eng., 2018)

Standard representation and unified stability analysis for dynamic artificial neural network models. - Kwang-Ki K. Kim; Ernesto Rios-Patron; Richard D. Braatz (Neural Networks, 2018)

Offset-free Input-Output Formulations of Stochastic Model Predictive Control Based on Polynomial Chaos Theory. - Matthias von Andrian; Richard D. Braatz (ACC, 2019)

Plantwide Control of a Compact Modular Reconfigurable System for Continuous- Flow Pharmaceutical Manufacturing. - Anastasia Nikolakopoulou; Matthias von Andrian; Richard D. Braatz (ACC, 2019)

Coupling of the population balance equation into a two-phase model for the simulation of combined cooling and antisolvent crystallization using OpenFOAM. - Lauren F. I. Farias; Jeferson A. Souza; Richard D. Braatz; Cezar A. da Rosa (Comput. Chem. Eng., 2019)

Special issue on pharmaceutical manufacturing. - Gintaras V. Reklaitis; Richard D. Braatz; Marianthi Ierapetritou (Comput. Chem. Eng., 2019)

Direct coupling of continuum and kinetic Monte Carlo models for multiscale simulation of electrochemical systems. - Fridolin Röder; Richard D. Braatz; Ulrike Krewer (Comput. Chem. Eng., 2019)

Optimal Charging of an Electric Vehicle Battery Pack: A Real-Time Sensitivity-Based MPC approach. - Andrea Pozzi; Marcello Torchio; Richard D. Braatz; Davide Martino Raimondo (CoRR, 2019)

Stochastic Dynamic Optimization and Model Predictive Control based on Polynomial Chaos Theory and Symbolic Arithmetic. - Matthias von Andrian; Richard D. Braatz (ACC, 2020)

Fast Model Predictive Control of Startup of a Compact Modular Reconfigurable System for Continuous-Flow Pharmaceutical Manufacturing. - Anastasia Nikolakopoulou; Matthias von Andrian; Richard D. Braatz (ACC, 2020)

Feedback Control of Dynamic Artificial Neural Networks Using Linear Matrix Inequalities. - Anastasia Nikolakopoulou; Moo Sun Hong; Richard D. Braatz (CDC, 2020)

Nonlinear Dynamical Analysis for an Ethanol Steam Reformer: A Singular Distributed Parameter System. - Pedro Reyero-Santiago; Carlos Ocampo-Martinez; Richard D. Braatz (CDC, 2020)

Multi-phase particle-in-cell coupled with population balance equation (MP-PIC-PBE) method for multiscale computational fluid dynamics simulation. - Shin Hyuk Kim; Jay H. Lee; Richard D. Braatz (Comput. Chem. Eng., 2020)

An internal model control design method for failure-tolerant control with multiple objectives. - Ali Mesbah 002; Joel A. Paulson; Richard D. Braatz (Comput. Chem. Eng., 2020)

Opportunities in tensorial data analytics for chemical and biological manufacturing processes. - Weike Sun; Richard D. Braatz (Comput. Chem. Eng., 2020)

ALVEN: Algebraic learning via elastic net for static and dynamic nonlinear model identification. - Weike Sun; Richard D. Braatz (Comput. Chem. Eng., 2020)

Fault detection and identification using Bayesian recurrent neural networks. - Weike Sun; Antonio R. C. Paiva; Peng Xu; Anantha Sundaram; Richard D. Braatz (Comput. Chem. Eng., 2020)

Stochastic model predictive control with joint chance constraints. - Joel A. Paulson; Edward A. Buehler; Richard D. Braatz; Ali Mesbah 002 (Int. J. Control, 2020)

Closed-loop optimization of fast-charging protocols for batteries with machine learning. - 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; et al. (Nat., 2020)

BEEP: A Python library for Battery Evaluation and Early Prediction. - Patrick K. Herring; Chirranjeevi Balaji Gopal; Muratahan Aykol; Joseph H. Montoya; Abraham Anapolsky; Peter M. Attia; William Gent; Jens S. Hummelshøj; Linda Hung; Ha-Kyung Kwon; Patrick Moore; Daniel Schweigert; et al. (SoftwareX, 2020)

Stability Certificates for Neural Network Learning-based Controllers using Robust Control Theory. - Hoang Hai Nguyen; Tim Zieger; Sandra C. Wells; Anastasia Nikolakopoulou; Richard D. Braatz; Rolf Findeisen (ACC, 2021)

Output Feedback Control and Observer Design for Dynamic Artificial Neural Networks. - Anastasia Nikolakopoulou; Moo Sun Hong; Richard D. Braatz (ACC, 2021)

State Feedback Control of Discrete-Time Lur'e Systems with Sector-Bounded Slope-Restricted Nonlinearities. - Sandra C. Wells; Anastasia Nikolakopoulou; Richard D. Braatz (ACC, 2021)

Polynomial chaos-based H2 output-feedback control of systems with probabilistic parametric uncertainties. - Yiming Wan; Dongying E. Shen; Sergio Lucia; Rolf Findeisen; Richard D. Braatz (Autom., 2021)

Foundations in Process Analytics and Machine Learning (FOPAM). - Richard D. Braatz; Thomas A. Badgwell; Phillip R. Westmoreland (Comput. Chem. Eng., 2021)

Mechanistic modeling and parameter-adaptive nonlinear model predictive control of a microbioreactor. - Moo Sun Hong; Richard D. Braatz (Comput. Chem. Eng., 2021)

Multi-scale fluid dynamics simulation based on MP-PIC-PBE method for PMMA suspension polymerization. - Shin Hyuk Kim; Jay H. Lee; Richard D. Braatz (Comput. Chem. Eng., 2021)

Mathematical modeling and analysis of microwave-assisted freeze-drying in biopharmaceutical applications. - Jinwoo Park; Jae Hyun Cho; Richard D. Braatz (Comput. Chem. Eng., 2021)

Smart process analytics for predictive modeling. - Weike Sun; Richard D. Braatz (Comput. Chem. Eng., 2021)

A Polynomial Chaos Approach to Robust H∞ Static Output-Feedback Control with Bounded Truncation Error. - Yiming Wan; Dongying E. Shen; Sergio Lucia; Rolf Findeisen; Richard D. Braatz (CoRR, 2021)

Image inversion and uncertainty quantification for constitutive laws of pattern formation. - Hongbo Zhao 003; Richard D. Braatz; Martin Z. Bazant (J. Comput. Phys., 2021)

Fast Charging of Lithium-ion Batteries by Mathematical Reformulation as Mixed Continuous-Discrete Simulation. - Marc D. Berliner; Benben Jiang; Daniel A. Cogswell; Martin Z. Bazant; Richard D. Braatz (ACC, 2022)

Fast Nonlinear Model Predictive Control of Distributed Parameter Systems. - Anastasia Nikolakopoulou; Richard D. Braatz (ACC, 2022)

Dynamic state feedback controller and observer design for dynamic artificial neural network models. - Anastasia Nikolakopoulou; Moo Sun Hong; Richard D. Braatz (Autom., 2022)

Efficient numerical schemes for population balance models. - Pavan K. Inguva; Kaylee C. Schickel; Richard D. Braatz (Comput. Chem. Eng., 2022)

Compact neural network modeling of nonlinear dynamical systems via the standard nonlinear operator form. - Pil Rip Jeon; Moo Sun Hong; Richard D. Braatz (Comput. Chem. Eng., 2022)

Latent Variable Method Demonstrator - software for understanding multivariate data analytics algorithms. - Joachim Schaeffer; Richard D. Braatz (Comput. Chem. Eng., 2022)

Necessary Optimality Conditions for Fast Lithium-ion Battery Charging via Hybrid Simulations. - Janine Matschek; Marc D. Berliner; Andreas Himmel; Richard D. Braatz; Rolf Findeisen (ACC, 2023)

Estimating Parameter Regions for Structured Parameter Tuning via Reduced Order Subsystem Models. - Roland Schurig; Andreas Himmel; Amer Mesanovic; Richard D. Braatz; Rolf Findeisen (ACC, 2023)

Thermal imaging-based state estimation of a Stefan problem with application to cell thawing. - 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; et al. (Comput. Chem. Eng., 2023)

Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra. - 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; et al. (CoRR, 2023)

Mechanistic Modeling and Analysis of Thermal Radiation in Conventional, Microwave-assisted, and Hybrid Freeze Drying for Biopharmaceutical Manufacturing. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (CoRR, 2023)

Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel. - Hongbo Zhao 003; 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 (Nat., 2023)

A Polynomial Chaos Approach to Robust Static Output-Feedback Control With Bounded Truncation Error. - Yiming Wan; Dongying E. Shen; Sergio Lucia; Rolf Findeisen; Richard D. Braatz (IEEE Trans. Autom. Control., 2023)

Efficient numerical schemes for multidimensional population balance models. - Pavan K. Inguva; Richard D. Braatz (Comput. Chem. Eng., 2023)

Polynomial NARX-based nonlinear model predictive control of modular chemical systems. - Anastasia Nikolakopoulou; Richard D. Braatz (Comput. Chem. Eng., 2023)

Analytical solutions for the modeling, optimization, and control of microwave-assisted freeze drying. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (Comput. Chem. Eng., 2023)

Smart process analytics for the end-to-end batch manufacturing of monoclonal antibodies. - 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 (Comput. Chem. Eng., 2023)

Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries. - Minsu Kim; Joachim Schaeffer; Marc D. Berliner; Berta Pedret Sagnier; Rolf Findeisen; Richard D. Braatz (ACC, 2024)

Modeling and Control of Continuous Countercurrent Tangential Chromatography. - Amos E. Lu; Anish Dighe; Richard D. Braatz (ACC, 2024)

Advanced Methods in Diagnostics and Prognostics. - Fabian Mohr; Weike Sun; Richard D. Braatz (ACC, 2024)

Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More. - Joachim Schaeffer; Giacomo Galuppini; Jinwook Rhyu; Patrick A. Asinger; Robin Droop; Rolf Findeisen; Richard D. Braatz (ACC, 2024)

Simulation-Based Approach for Optimal Control of a Stefan Problem. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (ACC, 2024)

An Execution-time-certified Riccati-based IPM Algorithm for RTI-based Input-constrained NMPC. - Liang Wu; Krystian Ganko; Shimin Wang; Richard D. Braatz (CDC, 2024)

Tensorial approaches combining time series and batch data for the end-to-end batch manufacturing of monoclonal antibodies. - 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 (Comput. Chem. Eng., 2024)

Recurrent neural network-based prediction of O-GlcNAcylation sites in mammalian proteins. - Pedro Seber; Richard D. Braatz (Comput. Chem. Eng., 2024)

Time-certified Input-constrained NMPC via Koopman Operator. - Liang Wu; Krystian Ganko; Richard D. Braatz (CoRR, 2024)

Nonparametric Steady-state Learning for Robust Output Regulation of Nonlinear Output Feedback Systems. - Shimin Wang; Martin Guay; Richard D. Braatz (CoRR, 2024)

LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Models. - Pedro Seber; Richard D. Braatz (CoRR, 2024)

An Execution-time-certified QP Algorithm for 𝓁1 penalty-based Soft-constrained MPC. - Liang Wu; Richard D. Braatz (CoRR, 2024)

Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging. - Sebastian Hirt; Andreas Höhl; Joachim Schaeffer; Johannes Pohlodek; Richard D. Braatz; Rolf Findeisen (CoRR, 2024)

Polynomial Chaos-based Stochastic Model Predictive Control: An Overview and Future Research Directions. - Prabhat K. Mishra; Joel A. Paulson; Richard D. Braatz (CoRR, 2024)

Lithium-Ion Battery System Health Monitoring and Fault Analysis from Field Data Using Gaussian Processes. - Joachim Schaeffer; Eric Lenz; Duncan Gulla; Martin Z. Bazant; Richard D. Braatz; Rolf Findeisen (CoRR, 2024)

Real-time Estimation of Bound Water Concentration during Lyophilization with Temperature-based State Observers. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (CoRR, 2024)

Mechanistic Modeling of Lipid Nanoparticle Formation for the Delivery of Nucleic Acid Therapeutics. - Pavan K. Inguva; Saikat Mukherjee; Pierre J. Walker; Mona A. Kanso; Jie Wang; Yanchen Wu; Vico Tenberg; Srimanta Santra; Shalini Singh; Shin Hyuk Kim; Bernhardt L. Trout; Martin Z. Bazant; et al. (CoRR, 2024)

Mechanistic Modeling of Continuous Lyophilization for Pharmaceutical Manufacturing. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (CoRR, 2024)

Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation. - Jinwook Rhyu; Joachim Schaeffer; Michael L. Li; Xiao Cui; William C. Chueh; Martin Z. Bazant; Richard D. Braatz (CoRR, 2024)

Automated outlier detection and estimation of missing data. - 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; et al. (Comput. Chem. Eng., 2024)

Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data. - Joachim Schaeffer; Eric Lenz; William C. Chueh; Martin Z. Bazant; Rolf Findeisen; Richard D. Braatz (Comput. Chem. Eng., 2024)

Lithium-Ion Battery Field Data: 28 LFP battery systems with 8 cells in series, up to 5 years of operation. - Joachim Schaeffer; Eric Lenz; Duncan Gulla; Martin Z. Bazant; Richard D. Braatz; Rolf Findeisen (Zenodo, 2024)

Extremum-Seeking Regulator for a Class of Nonlinear Systems With Unknown Control Direction. - Shimin Wang; Martin Guay; Richard D. Braatz (IEEE Trans. Autom. Control., 2024)

Improving N-Glycosylation and Biopharmaceutical Production Predictions Using AutoML-Built Residual Hybrid Models. - Pedro Seber; Richard D. Braatz (AISTATS, 2025)

Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging. - Sebastian Hirt; Andreas Höhl; Johannes Pohlodek; Joachim Schaeffer; Maik Pfefferkorn; Richard D. Braatz; Rolf Findeisen (ACC, 2025)

Probabilistically Robust Uncertainty Analysis and Optimal Control of Continuous Lyophilization via Polynomial Chaos Theory. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (ACC, 2025)

Learning-based Discrete-Time Observer and Its Application to Output Regulation. - Shimin Wang; Yunhong Che; Liang Wu; Martin Guay; Richard D. Braatz (ACC, 2025)

Structure-Preserving Uncertainty Quantification and Control of Population Balance Models. - Wallace Tan Gian Yion; Krystian Ganko; Richard D. Braatz (ACC, 2025)

Simulation-based approach for fast optimal control of a Stefan problem with application to cell therapy. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (Autom., 2025)

Smart Process Analytics for Process Monitoring. - Fabian Mohr; Elia Arnese-Feffin; Massimiliano Barolo; Richard D. Braatz (Comput. Chem. Eng., 2025)

Interpretation of high-dimensional regression coefficients by comparison with linearized compressing features. - Joachim Schaeffer; Jinwook Rhyu; Robin Droop; Rolf Findeisen; Richard D. Braatz (Comput. Chem. Eng., 2025)

Linear and neural network models for predicting N-glycosylation in Chinese Hamster Ovary cells based on B4GALT levels. - Pedro Seber; Richard D. Braatz (Comput. Chem. Eng., 2025)

Comprehensive Analysis on Machine Learning Approaches for Interpretable and Stable Soft Sensors. - Liang Cao; Jingyi Wang 005; Jianping Su; Yi Luo; Yankai Cao; Richard D. Braatz; R. Bhushan Gopaluni (IEEE Trans. Instrum. Meas., 2025)

EIQP: Execution-time-certified and Infeasibility-detecting QP Solver. - Liang Wu; Wei Xiao; Richard D. Braatz (CoRR, 2025)

A Direct Optimization Algorithm for Input-Constrained MPC. - Liang Wu; Richard D. Braatz (IEEE Trans. Autom. Control., 2025)

Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation. - Jinwook Rhyu; Joachim Schaeffer; Michael L. Li; Xiao Cui; William C. Chueh; Martin Z. Bazant; Richard D. Braatz (Zenodo, 2025)

Diagnostic-free onboard battery health assessment. - Yunhong Che; Vivek N. Lam; Jinwook Rhyu; Joachim Schaeffer; Minsu Kim; Martin Z. Bazant; William C. Chueh; Richard D. Braatz (CoRR, 2025)

Digital Twins in Biopharmaceutical Manufacturing: Review and Perspective on Human-Machine Collaborative Intelligence. - Mohammed Aatif Shahab; Francesco Destro; Richard D. Braatz (CoRR, 2025)

Bayesian Analysis of Interpretable Aging across Thousands of Lithium-ion Battery Cycles. - Marc D. Berliner; Minsu Kim; Xiao Cui; Vivek N. Lam; Patrick A. Asinger; Martin Z. Bazant; William C. Chueh; Richard D. Braatz (CoRR, 2025)

A Nonparametric Learning Framework for Nonlinear Robust Output Regulation. - Shimin Wang; Martin Guay; Zhiyong Chen 001; Richard D. Braatz (IEEE Trans. Autom. Control., 2025)

Data-Driven Nonlinear Regulation: Gaussian Process Learning. - Telema Harry; Martin Guay; Shimin Wang; Richard D. Braatz (CoRR, 2025)

Perturbed Gradient Descent Algorithms are Small-Disturbance Input-to-State Stable. - Leilei Cui 002; Zhong-Ping Jiang; Eduardo D. Sontag; Richard D. Braatz (CoRR, 2025)

A Quadratic Programming Algorithm with O(n3) Time Complexity. - Liang Wu; Richard D. Braatz (CoRR, 2025)