Online Spatiotemporal Least-Squares Support Vector Machine Modeling Approach for Time-Varying Distributed Parameter Processes-Reference-Cited by-同舟云学术

Online Spatiotemporal Least-Squares Support Vector Machine Modeling Approach for Time-Varying Distributed Parameter Processes

Published:2017-06-19 Issue:25 Volume:56 Page:7314-7321
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Lu XinJiang¹^ORCID,Yin Feng¹,Huang MingHui¹

Affiliation:

1. State Key Laboratory of High Performance Complex Manufacturing, School of Mechanical & Electrical Engineering, Central South University, Hunan 410083, China

Funder

Central South University

National Natural Science Foundation of China

Ministry of Education, Government of the People's Republic of Bangladesh

Natural Science Foundation of Hunan Province

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.7b00984

Reference36 articles.

1. Modeling of distributed parameter systems for applications—A synthesized review from time–space separation

2. Application of reduced models for robust control and state estimation of a distributed parameter system

3. Control of temperature profile for a spray deposition process

4. Distributed proportional plus second-order spatial derivative control for distributed parameter systems subject to spatiotemporal uncertainties

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