FCM control method research and application for the district heating network

Journal of Computational Information Systems

Volumn 8, Issue 23, 2012, Pages 9687-9697

  Lu, Wei ^a   Yang, Jianhua ^a   Liu, Xiaodong ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Control Method; Fuzzy Cognitive Maps; The Least Square

Indexed keywords

CAUSE-EFFECT RELATIONSHIPS; COMPLEX INDUSTRIAL PROCESS; CONTROL METHODS; CONTROLLED OBJECTS; DISTRICT HEATING NETWORKS; DYNAMIC BEHAVIORS; FUZZY COGNITIVE MAP; HEAT SUPPLY; HISTORICAL DATA; HUMAN REASONING; LEARNING RULES; LEAST SQUARE; LEAST SQUARES; NUMBER OF ITERATIONS; RESEARCH AND APPLICATION; SIMPLE ALGORITHM; SOFT COMPUTING TOOLS;

DISTRICT HEATING; FUZZY LOGIC; FUZZY RULES; FUZZY SYSTEMS; LARGE SCALE SYSTEMS; LEAST SQUARES APPROXIMATIONS; REAL TIME CONTROL; SOFT COMPUTING;

ITERATIVE METHODS;

EID: 84871486436     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. B. Kosko, "Fuzzy cognitive maps", International Journal of Man-Machine Studies, Vol. 24, pp. 65-75, 1986.
2. B. Kosko, Fuzzy Engineering, Prentice Hall publisher, pp. 216-238, 1999.
3. Elpiniki I., et al, "Papageorgiou.Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links", Interational Journal of Human-Computer Studies, Vol. 64, pp. 727-743, 2006.
4. T. Kottas, Y. Boutalis, and M. Christodoulou, "A new method for weight updating in Fuzzy cognitive maps usingsystem feedback", In Proceedings of 2th ICINCO, pp. 202-209, 2005.
5. E. I. Papageorgiou, Peter P. Groumpos, "A new hybrid method using evolutionary algorithms to train Fuzzy Cognitive Maps", Applied Soft Computing, Vol. 5, pp. 409-431, 2005.
6. E. I. Papageorgiou, C. D. Stylios, P. P. Groumpos, "ActiveHebbian learning algorithm to train fuzzy cognitive maps", International Journal of Approximate Reasoning, Vol. 37, pp. 219-249, 2004.
7. K. E. Parsopoulos, E. I. Papageorgiou, P. P. Groumpos, M. N. Vrahatis, "A first study of fuzzy cognitive maps learning using particle swarm optimization", IEEE Evolutionary Computation, pp. 1440-1447, 2005.
8. XiaoDong Liu, YanLi Zhang, "Numerical dynamic modeling and data driven control via least square techniques and hebbian learning algorithm", International Journal of Numerical Analysisand modeling, Vol. 7, pp. 66-86, 2010.
9. D. E. Koulouriotis, I. E. Diakoulakis, D. M. Emiris, "Learning fuzzy cognitive maps using evolution strategies: a novel schema for modeling and simulating high-level behavior", IEEE Evolutionary Computation, pp. 364-371, 2001.
10. Wojciech Stach, Lukasz Kurgan, Witold Pedrycz, Marek Reformat, "Genetic learning of fuzzy cognitive maps", Fuzzy Sets and System, Vol. 153, pp. 371-401, 2005.
11. Miao Y. and Liu Z. Q., Koulouriotis D. E., Diakoulakis I. E., Emiris D. M.",On causal inference in Fuzzy Cognitive Maps", IEEE Transactions on Fuzzy Systems, Vol. 8, pp. 107-119, 1999.
12. Koulouriotis D. E., Diakoulakis I. E., Emiris D. M., Zopounidis C. D., "Development of dynamic cognitive networks as complexsystems approximates", Applied Soft Computing, Vol. 5, pp. 157-179, 2005.
13. Stach W., Kurgan L., Pedrycz W., Reformat M., "Parallel fuzzy cognitive maps as a tool for modeling software development project", In Proceedings of North American Fuzzy Information Processing Society Conference, pp. 28-33, 2001.
14. Pelaez C. E., Bowles J. B., "Applying fuzzy cognitive maps knowledge representation to failure modes effects analysis", In proceedings of IEEE Annu. Symp. on Reliability and Maintainability, pp. 450-456, 1995.
15. Lin chunmei, "Using fuzzy cognitive map for system control", WSEAS Transaction on system, Vol. 7, pp. 1505-1535, 2008.
16. X. Liu, Y. Zhang and Y. Ren, "Dynamics systems description and control based on date", Journal of Information and Systems Sciences, Vol. 4, pp. 335-347, 2008.
17. D. E. Koulouriotis, I. E. Diakoulakis, D. M. Emiris, "Learning fuzzy cognitive maps using evolution strategies: a novel schema for modeling and simulating high-level behavior", In Proceedings of IEEE Congress on Evolutionary Computation, pp. 364-371, 2001.
18. T. Kottas, Y. Boutalis, and M. Christodoulou, "A new method for weight updating in Fuzzy cognitive maps using system feedback", In Proceedings of 2nd ICINCO Vol. 13, pp. 202-209, 2005.