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Optimal Sampled-Data Control Systems
Optimal Sampled-Data Control Systems
352,70
391,89 €
  • We will send in 10–14 business days.
Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and H ¿ optimization. The fact that most new industrial controllers are digital provides strong motivation for adapting or extending these techniques to digital control systems. This book, now available as a corrected reprint, attempts to do so. Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real proble…
  • Publisher:
  • Year: 2011
  • Pages: 374
  • ISBN-10: 1447130391
  • ISBN-13: 9781447130390
  • Format: 15.6 x 23.4 x 2.1 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

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Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and H ¿ optimization. The fact that most new industrial controllers are digital provides strong motivation for adapting or extending these techniques to digital control systems. This book, now available as a corrected reprint, attempts to do so. Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real problem, which involves an analogue plant, continuous-time performance specifications, and a sampled-data controller. Part II proposes a direct attack in the continuous-time domain, where sampled-data systems are time-varying. The findings are presented in forms that can readily be programmed in, e.g., MATLAB.

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  • Author: Tongwen Chen
  • Publisher:
  • Year: 2011
  • Pages: 374
  • ISBN-10: 1447130391
  • ISBN-13: 9781447130390
  • Format: 15.6 x 23.4 x 2.1 cm, softcover
  • Language: English English

Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and H ¿ optimization. The fact that most new industrial controllers are digital provides strong motivation for adapting or extending these techniques to digital control systems. This book, now available as a corrected reprint, attempts to do so. Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real problem, which involves an analogue plant, continuous-time performance specifications, and a sampled-data controller. Part II proposes a direct attack in the continuous-time domain, where sampled-data systems are time-varying. The findings are presented in forms that can readily be programmed in, e.g., MATLAB.

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