no code implementations • 23 Feb 2024 • Jonah J. Glunt, Jacob A. Siefert, Andrew F. Thompson, Herschel C. Pangborn
Nonlinear expressions are often approximated by piecewise affine (PWA) functions to simplify analysis or reduce computational costs.
no code implementations • 18 Oct 2023 • Trevor J. Bird, Jacob A. Siefert, Herschel C. Pangborn, Neera Jain
Control Co-Design (CCD) considers the coupled effects of both the plant and control parameters to optimize a system's closed-loop transient performance during the design stage.
no code implementations • 18 Sep 2023 • Hongliang Li, Herschel C. Pangborn, Ilya Kovalenko
To improve the scheduling and control of batch manufacturing processes, we propose a system-level energy-efficient Digital Twin framework that considers Time-of-Use (TOU) energy pricing for runtime decision-making.
no code implementations • 17 Apr 2023 • Jacob A. Siefert, Andrew F. Thompson, Jonah J. Glunt, Herschel C. Pangborn
This paper proposes a method for set-valued state estimation of nonlinear, discrete-time systems.
no code implementations • 13 Apr 2023 • Jacob A. Siefert, Trevor J. Bird, Andrew F. Thompson, Jonah J. Glunt, Justin P. Koeln, Neera Jain, Herschel C. Pangborn
This paper proposes methods for reachability analysis of nonlinear systems in both open loop and closed loop with advanced controllers.
no code implementations • 18 Oct 2022 • Jacob A. Siefert, Trevor J. Bird, Justin P. Koeln, Neera Jain, Herschel C. Pangborn
This paper presents identities for calculating over-approximated successor sets of discrete-time nonlinear systems using hybrid zonotopes.
no code implementations • 28 Jun 2021 • Trevor J. Bird, Herschel C. Pangborn, Neera Jain, Justin P. Koeln
This article presents a new set representation named the hybrid zonotope that is equivalent to the union of $2^N$ constrained zonotopes -- convex polytopes -- through the addition of $N$ binary zonotope factors.
no code implementations • 5 Apr 2021 • Austin L. Nash, Herschel C. Pangborn, Neera Jain
Control co-design (CCD) is a technique for improving the closed-loop performance of systems through the coordinated design of both plant parameters and an optimal control policy.