Sampled-Data Control for Periodic Objects

di Efim N. Rosenwasser (Autore)

Torsten Jeinsch (Autore)

Wolfgang Drewelow (Autore)

Springer International Publishing AG, 2024

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 the field of control theory.

• Autore: Efim N. Rosenwasser, Torsten Jeinsch, Wolfgang Drewelow
• Editore: Springer International Publishing AG
• Anno: 2024
• Rilegatura: Paperback / softback
• Pagine: 263 p.
• Dimensioni: 235 x 155 mm
• Peso: 433 gr.
• EAN: 9783031019586

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