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Description
  • The contribution is focused on algebraic methods used in the automatic design of controller parameters. The identification of a controlled system is based on a biased relay experiment. The identified system is consecutively approximated by a low order transfer function with a time delay. The controller parameters are then computed through the solution of a Diophantine equation in the ring of proper and stable rational functions. Tuning of the controller parameters can be achieved by a pole-placement problem as a desired multiple root of the characteristic closed loop equation. This approach introduces a scalar tuning parameter which can be adjusted by several methods.
  • The contribution is focused on algebraic methods used in the automatic design of controller parameters. The identification of a controlled system is based on a biased relay experiment. The identified system is consecutively approximated by a low order transfer function with a time delay. The controller parameters are then computed through the solution of a Diophantine equation in the ring of proper and stable rational functions. Tuning of the controller parameters can be achieved by a pole-placement problem as a desired multiple root of the characteristic closed loop equation. This approach introduces a scalar tuning parameter which can be adjusted by several methods. (en)
Title
  • Algebraic Tools in Autotuning Principles: Relay-based Autotuners
  • Algebraic Tools in Autotuning Principles: Relay-based Autotuners (en)
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  • Algebraic Tools in Autotuning Principles: Relay-based Autotuners
  • Algebraic Tools in Autotuning Principles: Relay-based Autotuners (en)
skos:notation
  • RIV/70883521:28140/13:43870277!RIV14-MSM-28140___
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  • 60059
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  • RIV/70883521:28140/13:43870277
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  • Relay identification; Feedback control; Diophantine equations; Automatic tuning (en)
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  • [63DFDEDA969C]
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  • Štrbské Pleso
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  • New York
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  • Proceedings of the 2013 International Conference on Process Control, PC 2013
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  • Korbel, Jiří
  • Prokop, Roman
  • Dostálek, Petr
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number of pages
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  • IEEE
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  • 978-1-4799-0927-8
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  • 28140
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