Name: Practical Control Engineering: Guide for Engineers, Managers, and Practitioners (Matlab Examples) (en Inglés)
Price: 153110.00 CLP
Availability: InStock
Author: David M. Koenig
ISBN: 9780071606134

portada Practical Control Engineering: Guide for Engineers, Managers, and Practitioners (Matlab Examples) (en Inglés)

Practical Control Engineering: Guide for Engineers, Managers, and Practitioners (Matlab Examples) (en Inglés)

Formato

Libro Físico

Editorial

Mcgraw-Hill Education - Europe

Autor

David M. Koenig

Año

2009

Idioma

Inglés

N° páginas

474

Encuadernación

Tapa Dura

Peso

ISBN

0071606130

ISBN13

9780071606134

N° edición

Categorías

Ingeniería de control automático

Practical Control Engineering: Guide for Engineers, Managers, and Practitioners (Matlab Examples) (en Inglés)

David M. Koenig (Autor) · Mcgraw-Hill Education - Europe · Tapa Dura

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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 FundamentalsUnderstand 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 analysisWrite and debug algorithms that simulate physical processes Understand feedback, feedforward, open loops, and cascade controlsBuild behavioral models using basic applied mathematicsAnalyze lumped, underdamped, and distributed processesComprehend matrix, vector, and state estimation concepts Convert from continuous to discrete-time and frequency domainsFilter out white noise, colored noise, and stochaic disturbances