Sampled Data Control Systems

Sampled Data Control Systems
Author: Jürgen Ackermann
Publsiher: Springer Science & Business Media
Total Pages: 596
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 9783642825545

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The first German edition of this book appeared in 1972, and in Polish translation in 1976. It covered the analysis and synthesis of sampled-data systems. The second German edition of 1983 ex tended the scope to design, in particular design for robustness of control system properties with respect to uncertainty of plant parameters. This book is a revised translation of the second Ger man edition. The revisions concern primarily a new treatment of the finite effect sequences and the use of nice numerical proper ties of Hessenberg forms. The introduction describes examples of sampled-data systems, in particular digital controllers, and analyzes the sampler and hold; also some design aspects are introduced. Chapter 2 reviews the modelling and analysis of continuous systems. Pole shifting is formulated as an affine mapping, here some n~w material on fixing some eigenvalues or some gains in a design step is included. Chapter 3 treats the analysis of sampled-data systems by state space and z-transform methods. This includes sections on inter sampling behavior, time-delay systems, absolute stability and non synchronous sampling. Chapter 4 treats controllability and reach ability of discrete-time systems, controllability regions for con strained inputs and the choice of the sampling interval primarily under controllability aspects. Chapter 5 deals with observability and constructability both from the discrete and continuous plant output. Full and reduced order observers are treated as well as disturbance observers.

Optimal Sampled Data Control Systems

Optimal Sampled Data Control Systems
Author: Tongwen Chen,Bruce A. Francis
Publsiher: Springer Science & Business Media
Total Pages: 374
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 9781447130376

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Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and H-infinity optimization. The fact that most new industrial controllers are digital provides strong motivation for adapting or extending these techniques to digital control systems. This book, now available as a corrected reprint, attempts to do so. Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real problem, which involves an analogue plant, continuous-time performance specifications, and a sampled-data controller. Part II proposes a direct attack in the continuous-time domain, where sampled-data systems are time-varying. The findings are presented in forms that can readily be programmed in, e.g., MATLAB.

Sampled Data Control Systems

Sampled Data Control Systems
Author: Gene F. Franklin,John Ralph Ragazzini
Publsiher: Franklin Classics Trade Press
Total Pages: 346
Release: 2018-11-11
Genre: History
ISBN: 0353354554

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This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Linear Time Varying Systems and Sampled data Systems

Linear Time Varying Systems and Sampled data Systems
Author: 朗·市川,Akira Ichikawa,Hitoshi Katayama
Publsiher: Springer Science & Business Media
Total Pages: 361
Release: 2001-02-26
Genre: Mathematics
ISBN: 1852334398

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This monograph considers linear optimal regulators, differential games and develops the theory for time-varying systems and jump systems.

Control of Uncertain Sampled Data Systems

Control of Uncertain Sampled Data Systems
Author: Geir E. Dullerud
Publsiher: Springer Science & Business Media
Total Pages: 177
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 9781461224402

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My main goal in writing this monograph is to provide a detailed treatment of uncertainty analysis for sampled-data systems in the context of sys tems control theory. Here, sampled-data system refers to the hybrid sys tem formed when continuous time and discrete time systems are intercon nected; by uncertainty analysis I mean achievable performance in the pres ence of worst -case uncertainty and disturbances. The focus of the book is sampled-data systems; however the approach presented is applicable to both standard and sampled-data systems. The past few years has seen a large surge in research activity centered around creating systematic methods for sampled-data design. The aim of this activity has been to deepen and broaden the, by now, sophisticated viewpoint developed for design of purely continuous time or discrete time systems (e.g. J{oo or -I!l optimal synthesis, J1 theory) so that it can be ap plied to the design of sampled-data systems. This research effort has been largely successful, producing both interesting new mathematical tools for control theory, and new methodologies for practical engineering design. Analysis of structured uncertainty is an important objective in control design, because it is a flexible and non-conservative way of analyzing sys tem performance, which is suitable in many engineering design scenarios.

Sampled data Control Systems

Sampled data Control Systems
Author: John Ralph Ragazzini,Gene F. Franklin
Publsiher: Unknown
Total Pages: 348
Release: 1958
Genre: Feedback control systems
ISBN: UOM:39015002920604

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Sampled Data Models for Linear and Nonlinear Systems

Sampled Data Models for Linear and Nonlinear Systems
Author: Juan I. Yuz,Graham C. Goodwin
Publsiher: Springer Science & Business Media
Total Pages: 289
Release: 2013-10-17
Genre: Technology & Engineering
ISBN: 9781447155621

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Sampled-data Models for Linear and Nonlinear Systems provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates being as high as they are, it is becoming more appropriate to emphasise connections and similarities. The text is driven by three motives: · the ubiquity of computers in modern control and signal-processing equipment means that sampling of systems that really evolve continuously is unavoidable; · although superficially straightforward, sampling can easily produce erroneous results when not treated properly; and · the need for a thorough understanding of many aspects of sampling among researchers and engineers dealing with applications to which they are central. The authors tackle many misconceptions which, although appearing reasonable at first sight, are in fact either partially or completely erroneous. They also deal with linear and nonlinear, deterministic and stochastic cases. The impact of the ideas presented on several standard problems in signals and systems is illustrated using a number of applications. Academic researchers and graduate students in systems, control and signal processing will find the ideas presented in Sampled-data Models for Linear and Nonlinear Systems to be a useful manual for dealing with sampled-data systems, clearing away mistaken ideas and bringing the subject thoroughly up to date. Researchers in statistics and economics will also derive benefit from the reworking of ideas relating a model derived from data sampling to an original continuous system.

Control Engineering

Control Engineering
Author: László Keviczky,Ruth Bars,Jenő Hetthéssy,Csilla Bányász
Publsiher: Springer
Total Pages: 532
Release: 2018-10-04
Genre: Technology & Engineering
ISBN: 9789811082979

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This book offers fundamental information on the analysis and synthesis of continuous and sampled data control systems. It includes all the required preliminary materials (from mathematics, signals and systems) that are needed in order to understand control theory, so readers do not have to turn to other textbooks. Sampled data systems have recently gained increasing importance, as they provide the basis for the analysis and design of computer-controlled systems. Though the book mainly focuses on linear systems, input/output approaches and state space descriptions are also provided. Control structures such as feedback, feed forward, internal model control, state feedback control, and the Youla parameterization approach are discussed, while a closing section outlines advanced areas of control theory. Though the book also contains selected examples, a related exercise book provides Matlab/Simulink exercises for all topics discussed in the textbook, helping readers to understand the theory and apply it in order to solve control problems. Thanks to this combination, readers will gain a basic grasp of systems and control, and be able to analyze and design continuous and discrete control systems.