Real-time adaptive sparse-identification-based predictive control of nonlinear processes
Author:
Funder
National Science Foundation
U.S. Department of Energy
Publisher
Elsevier BV
Subject
General Chemical Engineering,General Chemistry
Reference47 articles.
1. Data-based modeling and control of nonlinear process systems using sparse identification: An overview of recent results;Abdullah;Comput. Chem. Eng.,2023
2. Data-based reduced-order modeling of nonlinear two-time-scale processes;Abdullah;Chem. Eng. Res. Des.,2021
3. Sparse-identification-based model predictive control of nonlinear two-time-scale processes;Abdullah;Comput. Chem. Eng.,2021
4. Modeling and Control of Nonlinear Processes Using Sparse Identification: Using Dropout to Handle Noisy Data;Abdullah;Ind. Eng. Chem. Res.,2022
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