Practical Control Engineering: Guide for Engineers, Managers, and Practitioners: Guide for Engineers, Managers, and Practitioners / Edition 1

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An Essential Guide to Control Engineering Fundamentals

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. Practical Control Engineering explains how to:

  • Gain insight into control engineering and process analysis
  • Write and debug algorithms that simulate physical processes
  • Understand feedback, feedforward, open loops, and cascade controls
  • Build behavioral models using basic applied mathematics
  • Analyze lumped, underdamped, and distributed processes
  • Comprehend matrix, vector, and state estimation concepts
  • Convert from continuous to discrete-time and frequency domains
  • Filter out white noise, colored noise, and stochaic disturbances
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Product Details

  • ISBN-13: 9780071606134
  • Publisher: McGraw-Hill Professional Publishing
  • Publication date: 1/14/2009
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 508
  • Product dimensions: 6.00 (w) x 9.10 (h) x 1.30 (d)

Meet the Author

David M. Koenig, Ph.D. worked for 27 years as an

engineering associate at Corning, Inc.

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Table of Contents

Chapter 1. Qualitative Concepts in Control Engineering and Process Analysis
Chapter 2. Introduction to Developing Control Algorithms
Chapter 3. Basic Concepts in Process Analysis
Chapter 4. A New Domain and More Process Models
Chapter 5. Matrices and Higher Order Process Models
Chapter 6. An Underdamped Process
Chapter 7. Distributed Processes
Chapter 8. Stochastic Process Disturbances and the Discrete Time Domain
Chapter 9. The Discrete Time Domain and the Z-Transform
Chapter 10. Estimating the State and Using It for Control
Chapter 11. A review of Control Algorithms
Appendix A: Rudimentary Calculus
Appendix B: Complex Numbers
Appendix C: Spectral Analysis
Appendix D: Infinite and Taylor's Series
Appendix E: Application of the Exponential Function to Differential Equations
Appendix F: The Laplace Transform
Appendix G: Vectors and Matrices
Appendix H: Solving the State-Space Equation
Appendix I: The Z-Transform
Appendix J: A Brief Exposure to Matlab

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