DocumentCode :
2163594
Title :
Comparison of conventional and soft computing-based control methods in a power regulation application
Author :
Gao, X.Z. ; Ovaska, S.J.
Author_Institution :
Inst. of Intelligent Power Electron., Helsinki Univ. of Technol., Espoo, Finland
Volume :
3
fYear :
1998
fDate :
11-14 Oct 1998
Firstpage :
2075
Abstract :
We give a comparison between the conventional power control scheme and a soft computing-based approach in a mobile communications application. At the base station, the `bang-bang´ control strategy and a neural network-based prediction control method are employed respectively. In addition, full power command, single-bit command transmission mode, and fuzzy logic-based power command enhancement unit, are considered. Based on numerical simulation experiments, we quantitatively evaluate the performance of various combinations of these control methods and command transmission modes. Finally, conclusions on the optimal configuration are given
Keywords :
bang-bang control; fuzzy control; mobile communication; neurocontrollers; power control; predictive control; telecommunication control; bang-bang control; command transmission mode; fuzzy control; fuzzy logic; mobile communications; neural network; power regulation; prediction control; soft computing; Base stations; Communication system control; Control systems; Data communication; Fading; Fuzzy logic; Interference; Multiaccess communication; Power control; Power electronics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1062-922X
Print_ISBN :
0-7803-4778-1
Type :
conf
DOI :
10.1109/ICSMC.1998.724952
Filename :
724952
Link To Document :
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