Practical Control Engineering Guide For Engineers Managers And Practitioners


Practical Control Engineering Guide For Engineers Managers And Practitioners pdf

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Practical Control Engineering: Guide for Engineers, Managers, and Practitioners


Practical Control Engineering: Guide for Engineers, Managers, and Practitioners

Author: David M. Koenig

language: en

Publisher: McGraw Hill Professional

Release Date: 2009-01-31


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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

The British National Bibliography


The British National Bibliography

Author: Arthur James Wells

language: en

Publisher:

Release Date: 2006


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Practitioner's Guide to Quality and Process Improvement


Practitioner's Guide to Quality and Process Improvement

Author: A.B. Badiru

language: en

Publisher: Springer

Release Date: 1993-09-30


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The quality revolution; Fundamentals of quality improvement; Fundamentals of process improvement; Project management approach to quality and process improvement; Process management and control; Statistical tools for quality improvement; Additional statistical techniques.