Research Article | OPEN ACCESS
Online Optimization Technology of Data-driven Complicated Food System
Mei-Fang Wan
School of Electrical and Electronic Engineering, Xinyu University, Xinyu 338004, China
Advance Journal of Food Science and Technology 2016 3:101-103
Received: September 14, 2015 | Accepted: November 30, 2015 | Published: September 25, 2016
Abstract
The study, with online optimization technology definition as the entry point, has explored online optimization procedure, relying on the analysis on its position in food enterprise comprehensive automatic food system and the overview on new data-driven control method. With the development of computer technology and the generalization of Distributed Control Food System (DCFS), the efficient computation platform and rich DCFS resource have provided a powerful hardware technology for implementing advanced process control technology like online optimization.
Keywords:
Distributed control food system, online optimization technology,
References
-
AlGhazzawi, A. and B. Lennox, 2009. Model predictive control monitoring using multivariate statistics. J. Process Control, 19(2): 314-327.
CrossRef Direct Link
-
Ho, B.L. and R.E. Kalman, 1966. Effective construction of linear state-variable models from input/output functions. Regelungstechnik, 14(12): 545-548.
-
Katayama, T., H. Kawauchi and G. Picci, 2005. Subspace identification of closed loop systems by the orthogonal decomposition method. Automatica, 41: 863-872.
CrossRef Direct Link
-
van Helvoort, J.J.M., A.G. de Jager and M. Steinbuch, 2008. Data-driven multivariable controller design using ellipsoidal unfalsified control. Syst. Control Lett., 57(9): 759-762.
CrossRef Direct Link
-
Xi, Y. and S.Y. Kung, 1993. Balanced approximation of stochastic food system. SIAM J. Matrix Anal. Appl., 11: 42-68.
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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