Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Advance Journal of Food Science and Technology


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
http://dx.doi.org/10.19026/ajfst.12.2863  |  © The Author(s) 2016
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

  1. AlGhazzawi, A. and B. Lennox, 2009. Model predictive control monitoring using multivariate statistics. J. Process Control, 19(2): 314-327.
    CrossRef    Direct Link
  2. Ho, B.L. and R.E. Kalman, 1966. Effective construction of linear state-variable models from input/output functions. Regelungstechnik, 14(12): 545-548.
  3. 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
  4. 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
  5. 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.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved