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Control Performance Assessment: Theoretical Analyses and Industrial Practice 2020 ed. [Mīkstie vāki]

  • Formāts: Paperback / softback, 367 pages, height x width: 235x155 mm, weight: 593 g, 266 Illustrations, color; 253 Illustrations, black and white; XVIII, 367 p. 519 illus., 266 illus. in color., 1 Paperback / softback
  • Sērija : Studies in Systems, Decision and Control 245
  • Izdošanas datums: 11-Sep-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030235955
  • ISBN-13: 9783030235956
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 91,53 €*
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  • Standarta cena: 107,69 €
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  • Formāts: Paperback / softback, 367 pages, height x width: 235x155 mm, weight: 593 g, 266 Illustrations, color; 253 Illustrations, black and white; XVIII, 367 p. 519 illus., 266 illus. in color., 1 Paperback / softback
  • Sērija : Studies in Systems, Decision and Control 245
  • Izdošanas datums: 11-Sep-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030235955
  • ISBN-13: 9783030235956
Citas grāmatas par šo tēmu:

This book presents a comprehensive review of currently available Control Performance Assessment methods. It covers a broad range of classical and modern methods, with a main focus on assessment practice, and is intended to help practitioners learn and properly perform control assessment in the industrial reality. Further, it offers an educational guide for control engineers, who are currently in high demand in the industry. 

The book consists of three main parts. Firstly, a comprehensive review of available approaches is presented and discussed. The classical canon methods are extended with a discussion of nonlinear and complex alternative measures using non-Gaussian statistics, persistence and fractional calculations. Secondly, the methods’ applicability aspects are visualized with the aid of computer simulations, covering the most popular control philosophies used in the process industry. Lastly, a critical review of the methods discussed, on the basis of real-world industrial examples, rounds out the coverage. 

Does control quality matter?.- Step response indexes.- Basic data-based
measures.- Statistical measures.- Model-based measures.- Frequency based
methods.- Alternative indexes.- Business Key Performance Indicators KPIs.-
Control improvement benet estimation.- Simulation setup.- PID single element
control.- MIMO PID based control.- Industrial simulated examples.- MPC
control examples.- CPA industrial applications.- Control Feasibility Study.