Practical control engineering

Practical control engineering: a guide for engineers, managers, and practitioners

by Koenig, David M.

Type Book
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"Understand the day-to-day procedures of today's control engineer with the pragmatic insights and techniques contained in this unique resource. Written in clear, concise language, Practical Control Engineering shows, step-by-step, how engineers simulate real-world phenomena using dynamic models and algorithms. Learn how to handle single and multiple-staged systems, implement error-free feedback control, eliminate anomalies, and work in the frequency and discrete-time domains. Extensive appendic…

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Title Statements

  • Full title :Practical control engineering : a guide for engineers, managers, and practitioners / David M. Koenig.

Summary

"Understand the day-to-day procedures of today's control engineer with the pragmatic insights and techniques contained in this unique resource. Written in clear, concise language, Practical Control Engineering shows, step-by-step, how engineers simulate real-world phenomena using dynamic models and algorithms. Learn how to handle single and multiple-staged systems, implement error-free feedback control, eliminate anomalies, and work in the frequency and discrete-time domains. Extensive appendices cover basic calculus, differential equations, vector math, Laplace and Z-transforms, and Matlab basics."--Jacket

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Edition Statements

  • Publication Date:©2009.

Publication Statements

  • Publisher(s):McGraw-Hill
  • Place of Publication:New York
  • Language:eng
  • Publication Date:©2009.

Notes

Includes index.

"MATLAB examples"--Cover

The Physical Object

  • Description:xxi, 474 pages : : illustrations ; : 24 cm

Edition Identifiers

  • ISBN:9780071606134, 0071606130
  • oclc:ocn244060514
  • LC Classification:TJ213
  • Dewey Decimal:629.8

Table of Contents

Qualitative concepts in control engineering and process analysis -- Introduction to developing control algorithms -- Basic concepts in process analysis -- A new domain and more process models -- Matrices and higher-order process models -- An underdamped process -- Distributed processes -- Stochastic process disturbances and the discrete time domain -- The discrete time domain and the Z-transform -- Estimating the state and using it for control -- A review of control algorithms.

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