Modern Digital Control Systems
This work presents traditional methods and current techniques of incorporating the computer into closed-loop dynamic systems control, combining conventional transfer function design and state variable concepts. Digital Control Designer - an award-winning software program which permits the solution of highly complex problems - is available on the CR
1138428261
Modern Digital Control Systems
This work presents traditional methods and current techniques of incorporating the computer into closed-loop dynamic systems control, combining conventional transfer function design and state variable concepts. Digital Control Designer - an award-winning software program which permits the solution of highly complex problems - is available on the CR
150.0 In Stock
Modern Digital Control Systems

Modern Digital Control Systems

by Jacquot
Modern Digital Control Systems

Modern Digital Control Systems

by Jacquot

eBook

$150.00 

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Overview

This work presents traditional methods and current techniques of incorporating the computer into closed-loop dynamic systems control, combining conventional transfer function design and state variable concepts. Digital Control Designer - an award-winning software program which permits the solution of highly complex problems - is available on the CR

Product Details

ISBN-13: 9781351430579
Publisher: CRC Press
Publication date: 01/22/2019
Series: Electrical and Computer Engineering
Sold by: Barnes & Noble
Format: eBook
Pages: 432
File size: 19 MB
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About the Author

Raymond G. Jacquot

Table of Contents

Introduction to Digital Control Linear Difference Equations and the z-Transform Elementary Digital Control System Design Using Transform Techniques Advanced Digital Control System Design Techniques Employing the z-Transform Digital Filtering and Digital Compensator Design State-Variable Representation in Digital Control Systems Quantization and Error Effects State-Space Approach to Control System Design Linear Discrete-Time Optimal Control Discrete-Time Stochastic Systems State Estimation in the Presence of Noise Discrete-Time Stochastic Control Systems Introduction to System Identification Appendix A: Tables and Properties of z-Transforms Appendix B: Algebraic Eigenvalue-Eigenvictor Problem Appendix C: Proof of the Matrix Inversion Lemma Appendix D: Digital Control Designe
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