Work

Optimizing Flexible Complex Systems with Coupled and Co-Evolving Subsystems under Operational Uncertainties

Year: 2025

Type: preprint

Abstract: The paper develops a novel design optimization framework and associated computational techniques for staged deployment optimization of complex systems under operational uncertainties. It proposes a local scenario discretization method that offers a computationally efficient approach to optimize staged co-deployment of multiple coupled subsystems by decoupling weak dynamic interaction among subsystems. The proposed method is applied to case studies and is demonstrated to provide an effective and scalable strategy to determine the optimal and flexible systems design under uncertainty. The developed optimization framework is expected to improve the staged deployment design of various complex engineering systems, such as water, energy, food, and other infrastructure systems.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2505.23611

Authors: Ho, Koki, Isaji, Masafumi, Patel, Malav, Garoust, Kayla

Institution: Georgia Institute of Technology

Language: English

Topic: Systems Engineering Methodologies and Applications

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: National Science Foundation