11 papers
Piecewise M-Stationarity and Related Algorithms for Mathematical Programs with Complementarity Constraints
Kexin Wang, Lorenz T. Biegler
This study explores B-stationarity of mathematical programs with complementarity constraints (MPCCs) and convergence behavior of MPCC algorithms. Special attention is given to the…
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…
Modeling and Simulation of Nitrogen Generation by Pressure Swing Adsorption for Power-to-Ammonia
Marcus J. Schytt, Lorenz T. Biegler, John B. Jørgensen
Power-to-ammonia (P2A) provides a carbon-free alternative to conventional ammonia production by replacing fossil-based feedstocks with electrolytic hydrogen and nitrogen from air s…
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…
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…