Modifing fuzzy goals to consider the fuzziness of actual values An approach to incorporate forecast qualities in (predictive) multistage fuzzy control
The present paper recommends options to represent setpoints and actual values in automation tasks using fuzzy theory. It discusses in detail problems arising during the calculation of control errors and presents preliminary results on the development of two novel approaches. Finally the method will be applied in a simulation based case study to control the relative air humidity of a room with a predictive control strategy.
fuzzy decision making multistage fuzzy control control error calculation under fuzziness prediction errors
Christian Arnold Bernd Cuno Christoph Ament
University of Applied Sciences Fulda, Department of Electrical Engineering and Information Technolog Technical University of Ilmenau Institute for Automation and Systems Engineering Ilmenau, Germany
国际会议
重庆
英文
265-269
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）