Adaptive control of printing devices using fractional-order hold circuits adjusted through neural networks |
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| Authors: | Rafael Bárcena Ainhoa Etxebarria |
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| Institution: | Department of Electronics and Telecommunications, University of the Basque Country, Escuela Universitaria de Ingeniería Técnica Industrial, Plaza de la Casilla, 3. 48012 Bilbao, Spain |
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| Abstract: | A connectionist method for autotuning the free parameter of a fractional-order hold (FROH) circuit in order to improve the performance of the digitally controlled systems is proposed. Such a technique employs multilayer perceptrons to approximate the mapping between the sampling period/continuous-time parameters of the estimated plant and the optimal value of the FROH adjustable gain. In this way, adaptive discretization systems to improve the stability properties of the resulting discrete-time zeros are implemented. Simulation results are presented in order to illustrate the properties of the complete system applied to two actual digitally controlled printing devices (HP 7090A and low-cost computer printer). |
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| Keywords: | Intelligent control Neural networks Adaptive control FROH circuits |
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