Probabilistic PCA-Based Spatiotemporal Multimodeling for Nonlinear Distributed Parameter Processes
Author:
Affiliation:
1. Department of Systems Engineering & Engineering Management, City University of Hong Kong, Hong Kong, China
2. State Key Laboratory of High Performance Complex Manufacturing, Central South University, China
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie202613t
Reference57 articles.
1. Nonlinear and Robust Control of PDE Systems
2. Modeling of distributed parameter systems for applications—A synthesized review from time–space separation
3. Finite-Dimensional Control of Parabolic PDE Systems Using Approximate Inertial Manifolds
4. Estimation Techniques for Distributed Parameter Systems
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