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Robust Control-Oriented Linear Fractional Transform Modelling - Ranjit Kumar Barai - Bog

Bag om Robust Control-Oriented Linear Fractional Transform Modelling

This book covers a new paradigm of system modeling ¿ the robust control-oriented linear fractional transformation (LFT) modeling. A dynamic system expressed in LFT modeling framework paves the way for the application of modern robust controller design technique like ¿-synthesis method for controller design. This book covers the generalized robust control-oriented LFT modeling representation of the MIMO system depending upon the uncertainty structure, system dynamics, and the dimensions of the input¿output. The modeling framework results into a compact and manageable representation of uncertainty modeling in the form of feedback-like structure that is suitable for design and implementation of the robust control technique like ¿-synthesis-based H¿ control theory. This book also describes the application of the proposed methodology in a variety of advanced mechatronic systems like the Twin Rotor MIMO system, wheeled mobile robot, and an industrial robot arm.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789811974618
  • Indbinding:
  • Hardback
  • Sideantal:
  • 176
  • Udgivet:
  • 4. januar 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 160x15x241 mm.
  • Vægt:
  • 468 g.
  • 8-11 hverdage.
  • 6. december 2024
På lager

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  • BLACK NOVEMBER

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Robust Control-Oriented Linear Fractional Transform Modelling

This book covers a new paradigm of system modeling ¿ the robust control-oriented linear fractional transformation (LFT) modeling. A dynamic system expressed in LFT modeling framework paves the way for the application of modern robust controller design technique like ¿-synthesis method for controller design. This book covers the generalized robust control-oriented LFT modeling representation of the MIMO system depending upon the uncertainty structure, system dynamics, and the dimensions of the input¿output. The modeling framework results into a compact and manageable representation of uncertainty modeling in the form of feedback-like structure that is suitable for design and implementation of the robust control technique like ¿-synthesis-based H¿ control theory. This book also describes the application of the proposed methodology in a variety of advanced mechatronic systems like the Twin Rotor MIMO system, wheeled mobile robot, and an industrial robot arm.

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