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Control Performance Assessment: Theo...
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Control Performance Assessment: Theoretical Analyses and Industrial Practice
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Control Performance Assessment: Theoretical Analyses and Industrial Practice/ by Paweł D. Domański.
Author:
Domański, Paweł D.
Description:
XVIII, 367 p. 519 illus., 266 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Control engineering. -
Online resource:
https://doi.org/10.1007/978-3-030-23593-2
ISBN:
9783030235932
Control Performance Assessment: Theoretical Analyses and Industrial Practice
Domański, Paweł D.
Control Performance Assessment: Theoretical Analyses and Industrial Practice
[electronic resource] /by Paweł D. Domański. - 1st ed. 2020. - XVIII, 367 p. 519 illus., 266 illus. in color.online resource. - Studies in Systems, Decision and Control,2452198-4182 ;. - Studies in Systems, Decision and Control,27.
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 benefit estimation -- Simulation setup -- PID single element control -- MIMO PID based control -- Industrial simulated examples -- MPC control examples -- CPA industrial applications -- Control Feasibility Study.
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. .
ISBN: 9783030235932
Standard No.: 10.1007/978-3-030-23593-2doiSubjects--Topical Terms:
1249728
Control engineering.
LC Class. No.: TJ212-225
Dewey Class. No.: 629.8
Control Performance Assessment: Theoretical Analyses and Industrial Practice
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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 benefit estimation -- Simulation setup -- PID single element control -- MIMO PID based control -- Industrial simulated examples -- MPC control examples -- CPA industrial applications -- Control Feasibility Study.
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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. .
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