72 citations · 91 across the 12 of their papers we have counts for
9 papers · 1 filter
Asynchronous Distributed Multi-Robot Motion Planning Under Imperfect Communication
Ardalan Tajbakhsh, Augustinos Saravanos, James Zhu +3
This paper addresses the challenge of coordinating multi-robot systems under realistic communication delays using distributed optimization. We focus on consensus ADMM as a scalable…
A trust-region funnel algorithm for gray-box optimization
Gul Hameed, Tao Chen, Antonio del Rio Chanona +2
Gray-box optimization, where parts of optimization problems are represented by algebraic models while others are treated as black-box models lacking analytic derivatives, remains a…
Trust-region filter algorithms utilizing Hessian information for gray-box optimization
Gul Hameed, Tao Chen, Antonio del Rio Chanona +2
Optimizing industrial processes often involves gray-box models that couple algebraic glass-box equations with black-box components lacking analytic derivatives. Such systems challe…
An equation-based batch distillation simulation to evaluate the effect of multiplicities in thermodynamic activity coefficients
Jennifer Werner, Jochen Schmid, Lorenz T. Biegler +1
In this paper, we investigate the influence of multiplicities in activity coefficients on batch distillation processes. In order to do so, we develop a rigorous simulation of batch…
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees
Daniel Ovalle, Lorenz T. Biegler, Ignacio E. Grossmann +2
We propose Conformal Mixed-Integer Constraint Learning (C-MICL), a novel framework that provides probabilistic feasibility guarantees for data-driven constraints in optimization pr…
Coordinated guidance and control for multiple parafoil system landing
Zhenyu Wei, Zhijiang Shao, Lorenz T. Biegler
Multiple parafoil landing is an enabling technology for massive supply delivery missions. However, it is still an open question to design a collision-free, computation-efficient gu…
A Simultaneous Approach for Training Neural Differential-Algebraic Systems of Equations
Laurens R. Lueg, Victor Alves, Daniel Schicksnus +3
Scientific machine learning is an emerging field that broadly describes the combination of scientific computing and machine learning to address challenges in science and engineerin…
Multistage Economic MPC for Systems with a Cyclic Steady State: A Gas Network Case Study
Sakshi S. Naik, Lavinia M. Ghilardi, Robert B. Parker +1
Multistage model predictive control (MPC) provides a robust control strategy for dynamic systems with uncertainties and a setpoint tracking objective. Moreover, extending MPC to mi…
On Optimal Control of Hybrid Dynamical Systems using Complementarity Constraints
Saif R. Kazi, Kexin Wang, Lorenz T. Biegler
Optimal control for switch-based dynamical systems is a challenging problem in the process control literature. In this study, we model these systems as hybrid dynamical systems wit…