论文信息 - A neuro-fuzzy adaptive control strategy for refuse incineration plants

A neuro-fuzzy adaptive control strategy for refuse incineration plants

Abstract A refuse incineration plant is a complex process, whose multi-variable control problems cannot be solved conventionally by deriving an exact mathematical model of the process. A solution based on advanced fuzzy logic technologies within a suitable development methodology is demonstrated by a controller implemented for the refuse incineration plant in Hamburg-Stapelfeld, Germany. Incineration plants are individual constructions. To adapt the controller for other plants, a method for automated adaptation of the controller is designed.

[1] J. Fodor. On fuzzy implication operators , 1991 .

[2] H. Zimmermann,et al. On the suitability of minimum and product operators for the intersection of fuzzy sets , 1979 .

[3] H. Zimmermann,et al. Comparison of fuzzy reasoning methods , 1982 .

[4] H.-J. Zimmermann,et al. Advanced fuzzy logic control technologies in automotive applications , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[5] R. M. Tong,et al. Analysis of fuzzy control algorithms using the relation matrix , 1976 .

[6] D. O. Hebb,et al. The organization of behavior , 1988 .

[7] Ronald R. Yager,et al. Implementing fuzzy logic controllers using a neural network framework , 1992 .

[8] Lotfi A. Zadeh,et al. Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[9] H. Ono,et al. Combustion control of refuse incineration plant by fuzzy logic , 1989 .

[10] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.

[11] James M. Keller,et al. A new approach to inference in approximate reasoning , 1991 .

[12] H. Zimmermann,et al. Fuzzy Set Theory and Its Applications , 1993 .

[13] Constantin von Altrock,et al. Online Development Tools for Fuzzy Knowledge-Based Systems of Higher Order , 1992, Fuzzy Days.