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Optimal Sampled-Data Control Systems

2012-12-06 Technology & Engineering
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Release : 2012-12-06
Genre : Technology & Engineering
Kind : eBook
Book Rating : 375/5 ( reviews)

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Book Synopsis Optimal Sampled-Data Control Systems by : Tongwen Chen

Download or read book Optimal Sampled-Data Control Systems written by Tongwen Chen. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: 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

1977 Technology & Engineering
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Release : 1977
Genre : Technology & Engineering
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Book Synopsis Sampled-data Control Systems by : Eliahu Ibrahim Jury

Download or read book Sampled-data Control Systems written by Eliahu Ibrahim Jury. This book was released on 1977. Available in PDF, EPUB and Kindle. Book excerpt:

Control of Uncertain Sampled-Data Systems

1995-11-29 Mathematics
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Release : 1995-11-29
Genre : Mathematics
Kind : eBook
Book Rating : 511/5 ( reviews)

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Book Synopsis Control of Uncertain Sampled-Data Systems by : Geir E. Dullerud

Download or read book Control of Uncertain Sampled-Data Systems written by Geir E. Dullerud. This book was released on 1995-11-29. Available in PDF, EPUB and Kindle. Book excerpt: 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 Models for Linear and Nonlinear Systems

2013-10-17 Technology & Engineering
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Release : 2013-10-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 629/5 ( reviews)

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Book Synopsis Sampled-Data Models for Linear and Nonlinear Systems by : Juan I. Yuz

Download or read book Sampled-Data Models for Linear and Nonlinear Systems written by Juan I. Yuz. This book was released on 2013-10-17. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Discrete-data Control Systems

1974 Automatic control
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Release : 1974
Genre : Automatic control
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Book Synopsis Discrete-data Control Systems by : Benjamin C. Kuo

Download or read book Discrete-data Control Systems written by Benjamin C. Kuo. This book was released on 1974. Available in PDF, EPUB and Kindle. Book excerpt:

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