When FPGAs meet regionless explicit MPC: An implementation of long-horizon linear MPC for power electronic systems
This paper presents a novel real-time implementation of linear model predictive control
(MPC) schemes based on region-less explicit MPC (RL-EMPC). RL-EMPC is a recently …
(MPC) schemes based on region-less explicit MPC (RL-EMPC). RL-EMPC is a recently …
A parametric approach to identify synergistic domains of process intensification for reactive separation
Process intensification aims to combine multiple tasks within multi-functional units to
drastically improve economic, energy or sustainability metrics of a chemical process. Limited …
drastically improve economic, energy or sustainability metrics of a chemical process. Limited …
Control co-design using parametric optimization
YK Tsai - 2023 - oaktrust.library.tamu.edu
Combined design of physical artifacts and control systems (known as control co-design,
CCD) has received much attention because it achieves superior system performance by …
CCD) has received much attention because it achieves superior system performance by …
A branch-and-bound algorithm for parametric mixed-binary nonlinear programs
AC Pangia, MM Wiecek - Journal of Global Optimization, 2024 - Springer
As rapid response to changes becomes more imperative, optimization under uncertainty has
continued to grow in both the continuous and mixed-integer fields. We design a branch-and …
continued to grow in both the continuous and mixed-integer fields. We design a branch-and …
Multi Set-Point Explicit Model Predictive Control for Nonlinear Process Systems
VM Charitopoulos, LG Papageorgiou, V Dua - Processes, 2021 - mdpi.com
In this article, we introduce a novel framework for the design of multi set-point nonlinear
explicit controllers for process systems engineering problems where the set-points are …
explicit controllers for process systems engineering problems where the set-points are …
Approximating optimal solutions to biconvex parametric programs
AC Pangia - Optimization Letters, 2024 - Springer
Convex programming has been a research topic for a long time, both theoretically and
algorithmically. Frequently, these programs lack complete data or contain rapidly shifting …
algorithmically. Frequently, these programs lack complete data or contain rapidly shifting …
Multiparametric Continuous and Mixed-Integer Nonlinear Optimization with Parameters in General Locations
A Pangia - 2023 - tigerprints.clemson.edu
Convex programming has been a research topic for a long time, both theoretically and
algorithmically. Frequently, these programs lack complete data or contain rapidly shifting …
algorithmically. Frequently, these programs lack complete data or contain rapidly shifting …