Application of Fuzzy Cognitive Maps and Run-to-Run Control to a Decision Support System for Global Set-Point Determination

被引：12
作者：
Cano Marchal, Pablo [1 ,2 ]
Gamez Garcia, Javier [1 ,2 ]
Gomez Ortega, Juan [1 ,2 ]
机构：
[1] Univ Jaen, Robot Automat & Comp Vis Grp, Jaen 23001, Spain
[2] Agrifood Campus Int Excellence, Jaen 23001, Spain
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2017年 / 47卷 / 08期
关键词：
Decision support system; fuzzy cognitive map (FCM); run-to-run control; PREDICTIVE CONTROL; MODEL; STABILITY; FUTURE; OPTIMIZATION; NETWORKS; QUALITY;
D O I：
10.1109/TSMC.2016.2646762
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The final output of modern processes is significantly influenced by the selection of the set points of the process variables, as they fundamentally impact the product quality characteristics and the process performance metrics. This paper proposes a decision support system structure based on models built using fuzzy cognitive maps, an optimization problem that employs these models as constraints, and an observer that augments the optimization problem and allows to implement a run-to-run control approach, enabling the system to correct the suggested set-point values in case of a mismatch between the desired process output and the actual one. An application example related to an industrial process is included to illustrate the proposed approach.
引用
收藏
页码：2256 / 2267
页数：12
相关论文
共 48 条
  • [31] Fuzzy concepts applied to food product quality control: A review[J]. Perrot, N;Ioannou, I;Allais, I;Curt, C;Hossenlopp, J;Trystram, G. FUZZY SETS AND SYSTEMS, 2006(09)
  • [32] A survey on industrial applications of fuzzy control[J]. Precup, Radu-Emil;Hellendoorn, Hans. COMPUTERS IN INDUSTRY, 2011(03)
  • [33] A survey of industrial model predictive control technology[J]. Qin, SJ;Badgwell, TA. CONTROL ENGINEERING PRACTICE, 2003(07)
  • [34] Fuzzy model-based predictive control using Takagi-Sugeno models[J]. Roubos, JA;Mollov, S;Babuska, R;Verbruggen, HB. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 1999(1-2)
  • [35] Sachs E., 1990, Ninth IEEE/CHMT International Electronic Manufacturing Technology Symposium. Competitive Manufacturing for the Next Decade. Proceedings 1990 IEMT Symposium (Cat. No. 90CH2864-7), DOI 10.1109/IEMT9.1990.115003
  • [36] Ranking fuzzy cognitive map based scenarios with TOPSIS[J]. Salmeron, Jose L.;Vidal, Rosario;Mena, Angel. EXPERT SYSTEMS WITH APPLICATIONS, 2012(03)
  • [37] Modelling grey uncertainty with Fuzzy Grey Cognitive Maps[J]. Salmeron, Jose L. EXPERT SYSTEMS WITH APPLICATIONS, 2010(12)
  • [38] Past, present, and future of decision support technology[J]. Shim, JP;Warkentin, M;Courtney, JF;Power, DJ;Sharda, R;Carlsson, C. DECISION SUPPORT SYSTEMS, 2002(02)
  • [39] An Extension to Fuzzy Cognitive Maps for Classification and Prediction[J]. Song, Hengjie J.;Miao, Chunyan Y.;Wuyts, Roel;Shen, Zhiqi Q.;D'Hondt, Maja;Catthoor, Francky. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2011(01)
  • [40] Modeling complex systems using fuzzy cognitive maps[J]. Stylios, CD;Groumpos, PP. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2004(01)
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