Synopses & Reviews
@lt;p@gt;@lt;strong@gt;An Essential Guide to Control Engineering Fundamentals@lt;/strong@gt;@lt;/p@gt;@lt;p@gt;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, @lt;em@gt;Practical Control Engineering@lt;/em@gt; 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. @lt;em@gt;Practical Control Engineering@lt;/em@gt; explains how to: @lt;/p@gt;@lt;ul@gt;@lt;li@gt;Gain insight into control engineering and process analysis@lt;/li@gt;@lt;li@gt;Write and debug algorithms that simulate physical processes @lt;/li@gt;@lt;li@gt;Understand feedback, feedforward, open loops, and cascade controls@lt;/li@gt;@lt;li@gt;@lt;div@gt;Build behavioral models using basic applied mathematics@lt;/div@gt;@lt;/li@gt;@lt;li@gt;@lt;div@gt;Analyze lumped, underdamped, and distributed processes@lt;/div@gt;@lt;/li@gt;@lt;li@gt;@lt;div@gt;Comprehend matrix, vector, and state estimation concepts @lt;/div@gt;@lt;/li@gt;@lt;li@gt;Convert from continuous to discrete-time and frequency domains@lt;/li@gt;@lt;li@gt;@lt;div@gt;Filter out white noise, colored noise, and stochaic disturbances@lt;/div@gt;@lt;/li@gt;@lt;/ul@gt;
Synopsis
Grasp the results of applyingmath without having to understand mathematics in depthWith the help of Practical Control Engineering, you can improveyour knowledge of the applied mathematics used in your fields.Written in a lively conversational style, the book focuses on theresults of applying math in engineering practice, contains real,operation-based problems, and includes appendices on rudimentarycalculus, complex numbers, and spectral analysis for thosewho want more detail.
Synopsis
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
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
About the Author
David M. Koenig, Ph.D. worked for 27 years as anengineering associate at Corning, Inc.
Table of Contents
Ch 1. Qualitative Concepts in Control Engineering and Process Analysis
Ch 2. Intro to Developing Control Algorithms
Ch 3. Basic Concepts in Process Dynamics
Ch 4. A New Domain and More Process Models
Ch 5. Matrices and Higher Order Process Models
Ch 6. An Underdamped Process
Ch 7. Distributed Processes
Ch 8. Stochastic Process Disturbances and the Discrete Time Domain
Ch 9. The Discrete Time Domain and the Z-Transform
Ch 10. Estimating the State and using It for Control
Ch 11. A review of Control Algorithms
Appendix A: Rudimentary Calculus
Appendix B: Complex Numbers
Appendix C: Spectral Analysis