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{ "item_title" : "Sampled-Data Control for Periodic Objects", "item_author" : [" Efim N. Rosenwasser", "Torsten Jeinsch", "Wolfgang Drewelow "], "item_description" : "This book is devoted to the problem of sampled-data control of finite-dimensional linear continuous periodic (FDLCP) objects. It fills a deficit in coverage of this important subject. The methods presented here are based on the parametric transfer matrix, which has proven successful in the study of sampled-data systems with linear time-invariant objects. The book shows that this concept can be successfully transferred to sampled-data systems with FDLCP objects. It is set out in five parts:- - an introduction to the frequency approach for the mathematical description of FDLCP objects including the determination of their structure and their representation as a serial connection of periodic modulators and a linear time-invariant object;- construction of parametric transfer matrix for different types of open and closed sampled-data systems with FDLCP objects;- the solution of problems of causal modal control of FDLCP objects based on the mathematical apparatus of determinant polynomial equations;- consideration of the problem of constructing a quadratic quality functional for the H2-optimization problem of a single-loop synchronous sampled-data system with control delay;- description of the general H2-optimization procedure.Necessary mathematical reference material is included at relevant points in the book.Sampled-Data Control for Periodic Objects is of use to: scientists and engineers involved in research and design of systems of systems with FDLCP objects; graduate students wishing to broaden their scope of competence; their instructors; and mathematicians working in thefield of control theory.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/101/955/3031019555_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Sampled-Data Control for Periodic Objects|Efim N. Rosenwasser

Sampled-Data Control for Periodic Objects

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Overview

This book is devoted to the problem of sampled-data control of finite-dimensional linear continuous periodic (FDLCP) objects. It fills a deficit in coverage of this important subject. The methods presented here are based on the parametric transfer matrix, which has proven successful in the study of sampled-data systems with linear time-invariant objects. The book shows that this concept can be successfully transferred to sampled-data systems with FDLCP objects. It is set out in five parts:

- - an introduction to the frequency approach for the mathematical description of FDLCP objects including the determination of their structure and their representation as a serial connection of periodic modulators and a linear time-invariant object;

- construction of parametric transfer matrix for different types of open and closed sampled-data systems with FDLCP objects;

- the solution of problems of causal modal control of FDLCP objects based on the mathematical apparatus of determinant polynomial equations;

- consideration of the problem of constructing a quadratic quality functional for the H2-optimization problem of a single-loop synchronous sampled-data system with control delay;

- description of the general H2-optimization procedure.

Necessary mathematical reference material is included at relevant points in the book.

Sampled-Data Control for Periodic Objects is of use to: scientists and engineers involved in research and design of systems of systems with FDLCP objects; graduate students wishing to broaden their scope of competence; their instructors; and mathematicians working in thefield of control theory.


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Details

  • ISBN-13: 9783031019555
  • ISBN-10: 3031019555
  • Publisher: Springer
  • Publish Date: February 2023
  • Dimensions: 9.21 x 6.14 x 0.69 inches
  • Shipping Weight: 1.25 pounds
  • Page Count: 263

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