14 citations · 19 across the 26 of their papers we have counts for
10 papers · 1 filter
An Integrated Experimental and Modeling Approach for Crystallization of Complex Biotherapeutics
Vivekananda Bal, Moo Sun Hong, Jacqueline M. Wolfrum +5
Crystallization of proteins, specifically proteins of medical relevance, is performed for various reasons such as to understand the protein structure and to design therapies. Obtai…
Selective Enrichment of Full AAV Capsids
Vivekananda Bal, Jacqueline M. Wolfrum, Paul W. Barone +4
Gene therapies using recombinant adeno-associated virus (rAAV) have been developed to treat monogenic and acquired diseases but are currently the most expensive drugs due, in part,…
Simulation-based Approach for Fast Optimal Control of a Stefan Problem with Application to Cell Therapy
Prakitr Srisuma, George Barbastathis, Richard D. Braatz
This article describes a new, efficient way of finding control and state trajectories in optimal control problems by reformulation as a system of differential-algebraic equations (…
Mechanistic Modeling of Continuous Lyophilization for Biopharmaceutical Manufacturing
Prakitr Srisuma, Gang Chen, Richard D. Braatz
Lyophilization (aka freeze drying) is a typical process in pharmaceutical manufacturing used for improving the stability of various drug products, including its recent applications…
HEK-Omics: The promise of omics to optimize HEK293 for recombinant adeno-associated virus (rAAV) gene therapy manufacturing
Sai Guna Ranjan Gurazada, Hannah M. Kennedy, Richard D. Braatz +3
Gene therapy is poised to transition from niche to mainstream medicine, with recombinant adeno-associated virus (rAAV) as the vector of choice. However, this requires robust, scala…
Real-time Estimation of Bound Water Concentration during Lyophilization with Temperature-based State Observers
Prakitr Srisuma, George Barbastathis, Richard Braatz
Lyophilization (aka freeze drying) has been shown to provide long-term stability for many crucial biotherapeutics, e.g., mRNA vaccines for COVID-19, allowing for higher storage tem…
A Parallel Vector-form Decomposition for Accelerating Execution-time-certified -penalty Soft-constrained MPC
Liang Wu, Liwei Zhou, Richard D. Braatz
Handling possible infeasibility and providing an execution time certificate are two pressing requirements of real-time Model Predictive Control (MPC). To meet these two requirement…
Time-certified Input-constrained NMPC via Koopman Operator
Liang Wu, Krystian Ganko, Richard D. Braatz
Determining solving-time certificates of nonlinear model predictive control (NMPC) implementations is a pressing requirement when deploying NMPC in production environments. Such a…
An Execution-time-certified Riccati-based IPM Algorithm for RTI-based Input-constrained NMPC
Liang Wu, Krystian Ganko, Shimin Wang +1
Establishing an execution time certificate in deploying model predictive control (MPC) is a pressing and challenging requirement. As nonlinear MPC (NMPC) results in nonlinear progr…
Nonparametric Steady-State Learning for Nonlinear Output Feedback Regulation
Shimin Wang, Martin Guay, Richard D. Braatz
This article addresses the nonparametric and robust output regulation problem of the general nonlinear output feedback system with error output. The global robust output regulation…