14 citations · 19 across the 26 of their papers we have counts for
10 papers · 1 filter
Nonadaptive Learning in Robust Nonlinear Output Regulation
Shimin Wang, Martin Guay, Richard D. Braatz
This paper considers robust nonadaptive regulation for general nonlinear systems in an output-feedback setting with arbitrarily high relative degree. We develop a nonadaptive desig…
Least-Squares Multi-Step Koopman Operator Learning for Model Predictive Control
Liang Wu, Wallace Gian Yion Tan, Leqi Zhou +2
MPC is widely used in real-time applications, but practical implementations are typically restricted to convex QP formulations to ensure fast and certified execution. Koopman-based…
Data-Driven Nonlinear Regulation: Gaussian Process Learning
Telema Harry, Martin Guay, Shimin Wang +1
This article addresses the output regulation problem for a class of nonlinear systems using a data-driven approach. An output feedback controller is proposed that integrates a trad…
EIQP: Execution-time-certified and Infeasibility-detecting QP Solver
Liang Wu, Wei Xiao, Richard D. Braatz
Solving real-time quadratic programming (QP) is a ubiquitous task in control engineering, such as in model predictive control and control barrier function-based QP. In such real-ti…
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 (…
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…
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…
A nonparametric learning framework for nonlinear robust output regulation
Shimin Wang, Martin Guay, Zhiyong Chen +1
A nonparametric learning solution framework is proposed for the global nonlinear robust output regulation problem. We first extend the assumption that the steady-state generator is…