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  • This paper deals with the Adaptive LQ control of the conductivity inside the real model of Continuous Stirred Tank Reactor (CSTR). The adaptive approach here is based on the choice of the External Linear Model (ELM) of originally nonlinear system, parameters of which are identified recursively during the control and parameters of the controller are recomputed too with the use of polynomial control synthesis together with Linear Quadratic (LQ) tracking which satisfies basic control requirements.
  • This paper deals with the Adaptive LQ control of the conductivity inside the real model of Continuous Stirred Tank Reactor (CSTR). The adaptive approach here is based on the choice of the External Linear Model (ELM) of originally nonlinear system, parameters of which are identified recursively during the control and parameters of the controller are recomputed too with the use of polynomial control synthesis together with Linear Quadratic (LQ) tracking which satisfies basic control requirements. (en)
Title
  • Adaptive Control of Conductivity Inside CSTR
  • Adaptive Control of Conductivity Inside CSTR (en)
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  • Adaptive Control of Conductivity Inside CSTR
  • Adaptive Control of Conductivity Inside CSTR (en)
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  • RIV/70883521:28140/10:63509093!RIV11-MSM-28140___
http://linked.open...avai/riv/aktivita
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  • 245379
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  • RIV/70883521:28140/10:63509093
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  • Adaptive Control; Recursive Identification; LQ approach; Polynomial Synthesis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [04E7FCE7700C]
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  • Zadar, Croatia
http://linked.open...i/riv/mistoVydani
  • Vienna
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  • Proceedings of the 21st International DAAAM Symposium %22Intelligent Manufacturing & Automation: Focus on Interdisciplinary Solutions%22
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  • Vojtěšek, Jiří
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  • DAAAM International Vienna
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  • 978-3-901509-73-5
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  • 28140
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