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Adaptive control of printing devices using fractional-order hold circuits adjusted through neural networks

Authors
Journal
Journal of the Franklin Institute
0016-0032
Publisher
Elsevier
Publication Date
Volume
344
Issue
6
Identifiers
DOI: 10.1016/j.jfranklin.2006.10.001
Keywords
  • Intelligent Control
  • Neural Networks
  • Adaptive Control
  • Froh Circuits

Abstract

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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