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 Raymond G. Jacquot
Modern Digital Control Systems

Modern Digital Control Systems

by Raymond G. 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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