Sparse-identification-based model predictive control of nonlinear two-time-scale processes. - Fahim Abdullah; Zhe Wu 004; Panagiotis D. Christofides (Comput. Chem. Eng., 2021)

Handling noisy data in sparse model identification using subsampling and co-teaching. - Fahim Abdullah; Zhe Wu 004; Panagiotis D. Christofides (Comput. Chem. Eng., 2022)

A tutorial review of neural network modeling approaches for model predictive control. - Yi Ming Ren; Mohammed S. Alhajeri; Junwei Luo; Scarlett Chen; Fahim Abdullah; Zhe Wu 004; Panagiotis D. Christofides (Comput. Chem. Eng., 2022)

Partially-connected recurrent neural network model generalization error: Application to model predictive control of nonlinear processes. - Mohammed S. Alhajeri; Aisha Alnajdi; Fahim Abdullah; Panagiotis D. Christofides (MED, 2023)

Encrypted Model Predictive Control of Nonlinear Systems. - Atharva V. Suryavanshi; Aisha Alnajdi; Mohammed S. Alhajeri; Fahim Abdullah; Panagiotis D. Christofides (MED, 2023)

Data-based modeling and control of nonlinear process systems using sparse identification: An overview of recent results. - Fahim Abdullah; Panagiotis D. Christofides (Comput. Chem. Eng., 2023)

Model predictive control of nonlinear processes using neural ordinary differential equation models. - Junwei Luo; Fahim Abdullah; Panagiotis D. Christofides (Comput. Chem. Eng., 2023)

Encrypted Decentralized Model Predictive Control of Nonlinear Processes with Input Delays. - Yash A. Kadakia; Aisha Alnajdi; Fahim Abdullah; Panagiotis D. Christofides (ACC, 2024)

A Two-Tier Encrypted Control Architecture for Enhanced Cybersecurity of Nonlinear Processes. - Yash A. Kadakia; Atharva V. Suryavanshi; Aisha Alnajdi; Fahim Abdullah; Panagiotis D. Christofides (ACC, 2024)

Integrating machine learning detection and encrypted control for enhanced cybersecurity of nonlinear processes. - Yash A. Kadakia; Atharva V. Suryavanshi; Aisha Alnajdi; Fahim Abdullah; Panagiotis D. Christofides (Comput. Chem. Eng., 2024)