340 citations · 1k across the 6 of their papers we have counts for
9 papers
Online Learning Based Risk-Averse Stochastic MPC of Constrained Linear Uncertain Systems
Chao Ning, Fengqi You
This paper investigates the problem of designing data-driven stochastic Model Predictive Control (MPC) for linear time-invariant systems under additive stochastic disturbance, whos…
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions
Abdulelah S. Alshehri, Rafiqul Gani, Fengqi You
The optimal design of compounds through manipulating properties at the molecular level is often the key to considerable scientific advances and improved process systems performance…
Quantum Computing Assisted Deep Learning for Fault Detection and Diagnosis in Industrial Process Systems
Akshay Ajagekar, Fengqi You
Quantum computing (QC) and deep learning techniques have attracted widespread attention in the recent years. This paper proposes QC-based deep learning methods for fault diagnosis…
Quantum computing for energy systems optimization: Challenges and opportunities
Akshay Ajagekar, Fengqi You
The purpose of this paper is to explore the applications of quantum computing to energy systems optimization problems and discuss some of the challenges faced by quantum computers…
Distributionally Robust Chance Constrained Programming with Generative Adversarial Networks (GANs)
Shipu Zhao, Fengqi You
This paper presents a novel deep learning based data-driven optimization method. A novel generative adversarial network (GAN) based data-driven distributionally robust chance const…
Efficient Greenhouse Temperature Control with Data-Driven Robust Model Predictive Control
Wei-Han Chen, Fengqi You
Appropriate greenhouse temperature should be maintained to ensure crop production while minimizing energy consumption. Even though weather forecasts could provide a certain amount…