Sampled-Data Control for Periodic Objects

von Efim N. Rosenwasser, Torsten Jeinsch, Wolfgang Drewelow

263 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Themen: Technologie, Ingenieurswissenschaft, Landwirtschaft, Industrieprozesse Elektronik, Nachrichtentechnik Elektronik Regelungstechnik
• ISBN: 9783031019586
• Sprache: Englisch
• Erscheinungsdatum: 04.02.2024
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing