Introduction to Applied Digital Controls - Rilegato

Starr, Gregory

Rilegato

ISBN 10: 3030428095 ISBN 13: 9783030428099

Casa editrice: Springer Nature, 2020

Riassunto

<p></p><p>This textbook introduces senior undergraduate and beginning graduate students of mechanical engineering to the ?eld of digital control with an emphasis on applications. Both transform-based and state-variable approaches are included, with a brief introduction to system identi?cation. The material requires some understanding of the Laplace transform and assumes that the reader has studied linear feedback control systems. Adopting an accessible, “tutorial” format, the text presents a clear and concise treatment of Linear Difference Equations, Discrete Simulation of Continuous Systems, Sampled Data Systems, Design using Laplace and Z Transforms, Introduction to Continuous State Space, Digital Control Design using State Space Methods (including state estimators), and System Identification using Least Squares.</p><p></p>

Su questo libro

Informazioni sull?autore

Dr. Gregory Starr is Professor Emeritus in the Department of Mechanical Engineering at the University of New Mexico. Dr. Greg Mason is a Professor in the Department of Mechanical Engineering at Seattle University.

Dalla quarta di copertina

<p>This textbook introduces senior undergraduate and beginning graduate students of mechanical engineering to the ?eld of digital control with an emphasis on applications. Both transform-based and state-variable approaches are included, with a brief introduction to system identi?cation. The material requires some understanding of the Laplace transform and assumes that the reader has studied linear feedback control systems. Adopting an accessible, “tutorial” format, the text presents a clear and concise treatment of Linear Difference Equations, Discrete Simulation of Continuous Systems, Sampled Data Systems, Design using Laplace and Z Transforms, Introduction to Continuous State Space, Digital Control Design using State Space Methods (including state estimators), and System Identification using Least Squares.</p>

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030428095
• ISBN 13: 9783030428099
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 232
• Contatto del produttore: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Germania