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This paper concerns the experimental evaluation of a PID mixed H2/H∞ control methodology based on the application of genetic algorithms. The considered plant is an experimental DC servosystem affected by disturbances acting on its output, and the performance objective corresponds to the control of the load angular position.
In this paper a simple genetic algorithm is used to tuner a fuzzy controller. The genetic algorithm is used off-line in order to find the better rules by an optimization procedure. The considered plant is an experimental D.C. servosystem, and the problem control corresponds to the control of the angular position. The genetic algorithm operates with populations who correspond to consequents of the...
Two sets of modules have been sent around to different testing installations across Europe, one set to laboratories performing indoor calibrations and one set to laboratories performing outdoor power and energy ratings. The results show that for crystalline and poly-crystalline devices, a very good agreement between laboratories has been achieved. A lower agreement between laboratories has been achieved...
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