Single-neuron predictive control for time-variable large delay systems

Ying Xu, Yongmao Xu, Erfu Yang

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

A real time control method was developed for time variable large delay systems. A predictive controller based on a single neuron was designed combining a single neuron with the Levinson predictive mechanism to build a proportion integral differential (PID) controller. This controller's weights and variable parameters were adaptively adjusted on line, to minimize the control signal delay. Experiments with single order and two order delay systems, verified that the controller processes excellent self turn and robustness and that it's overall control performance is beffer than the PID controller.
LanguageEnglish
Pages383–386
Number of pages4
JournalJournal of Tsinghua University and Peking University : Science and Technology.
Volume42
Issue number3
Publication statusPublished - 2002

Fingerprint

Neurons
Controllers
Real time control
Robustness (control systems)
Experiments

Keywords

  • single neuron
  • adaptation
  • prediction
  • optimal
  • delay

Cite this

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Single-neuron predictive control for time-variable large delay systems. / Xu, Ying; Xu, Yongmao; Yang, Erfu.

In: Journal of Tsinghua University and Peking University : Science and Technology., Vol. 42, No. 3, 2002, p. 383–386.

Research output: Contribution to journalArticle

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