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Linear Time Varying Systems And Sampled Data Systems


Linear Time Varying Systems And Sampled Data Systems
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Linear Time Varying Systems And Sampled Data Systems


Linear Time Varying Systems And Sampled Data Systems
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Author : Akira Ichikawa
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-02-26

Linear Time Varying Systems And Sampled Data Systems written by Akira Ichikawa and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-26 with Language Arts & Disciplines categories.


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



Linear Time Varying Systems And Sampled Data Systems


Linear Time Varying Systems And Sampled Data Systems
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Author : Akira Ichikawa
language : en
Publisher:
Release Date : 2014-01-15

Linear Time Varying Systems And Sampled Data Systems written by Akira Ichikawa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.




Sampled Data Models For Linear And Nonlinear Systems


Sampled Data Models For Linear And Nonlinear Systems
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Author : Juan I. Yuz
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-10-17

Sampled Data Models For Linear And Nonlinear Systems written by Juan I. Yuz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-17 with Technology & Engineering categories.


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.



Linear Time Varying Systems And Sampled Data Systems


Linear Time Varying Systems And Sampled Data Systems
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Author : Akira Ichikawa
language : en
Publisher: Springer
Release Date : 2001-02-26

Linear Time Varying Systems And Sampled Data Systems written by Akira Ichikawa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-26 with Technology & Engineering categories.


This book gives an introduction to H-infinity and H2 control for linear time-varying systems. Chapter 2 is concerned with continuous-time systems while Chapter 3 is devoted to discrete-time systems. The main aim of this book is to develop the H-infinity and H2 theory for jump systems and to apply it to sampled-data systems. The jump system gives a natural state space representation of sampled-data systems, and original signals and parameters are maintained in the new system. Two earlier chapters serve as preliminaries. Chapter 4 introduces jump systems and develops the H-infinity and H2 theory for them. It is then applied to sampled-data systems in Chapter 5. The new features of this book are as follows: The H-infinity control theory is developed for time-varying systems with initial uncertainty. Recent results on the relation of three Riccati equations are included. The H2 theory usually given for time-invariant systems is extended to time-varying systems. The H-infinity and H2 theory for sampled-data systems is established from the jump system point of view. Extension of the theory to infinite dimensional systems and nonlinear systems is discussed. This covers the sampled-data system with first-order hold. In this book 16 examples and 40 figures of computer simulations are included. The reader can find the H-infinity and H2 theory for linear time-varying systems and sampled-data systems developed in a unified manner. Some arguments inherent to time varying systems or the jump system point of view to sampled-data systems may give new insights into the system theory of time-invariant systems and sampled-data systems.



Study Of Linear Time Varying Sampled Data Control Systems


Study Of Linear Time Varying Sampled Data Control Systems
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Author : Antti Jaakko Koivuniemi
language : en
Publisher:
Release Date : 1963

Study Of Linear Time Varying Sampled Data Control Systems written by Antti Jaakko Koivuniemi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1963 with Feedback control systems categories.




Linear Time Varying Systems Analysis And Synthesis


Linear Time Varying Systems Analysis And Synthesis
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Author : Henry D'Angelo
language : en
Publisher:
Release Date : 1970

Linear Time Varying Systems Analysis And Synthesis written by Henry D'Angelo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with System analysis categories.




Optimal Sampled Data Control Systems


Optimal Sampled Data Control Systems
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Author : Tongwen Chen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Optimal Sampled Data Control Systems written by Tongwen Chen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


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.



The Control Systems Handbook


The Control Systems Handbook
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Author : William S. Levine
language : en
Publisher: CRC Press
Release Date : 2018-10-03

The Control Systems Handbook written by William S. Levine and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.


At publication, The Control Handbook immediately became the definitive resource that engineers working with modern control systems required. Among its many accolades, that first edition was cited by the AAP as the Best Engineering Handbook of 1996. Now, 15 years later, William Levine has once again compiled the most comprehensive and authoritative resource on control engineering. He has fully reorganized the text to reflect the technical advances achieved since the last edition and has expanded its contents to include the multidisciplinary perspective that is making control engineering a critical component in so many fields. Now expanded from one to three volumes, The Control Handbook, Second Edition organizes cutting-edge contributions from more than 200 leading experts. The third volume, Control System Advanced Methods, includes design and analysis methods for MIMO linear and LTI systems, Kalman filters and observers, hybrid systems, and nonlinear systems. It also covers advanced considerations regarding — Stability Adaptive controls System identification Stochastic control Control of distributed parameter systems Networks and networked controls As with the first edition, the new edition not only stands as a record of accomplishment in control engineering but provides researchers with the means to make further advances. Progressively organized, the first two volumes in the set include: Control System Fundamentals Control System Applications



The Analysis Of Nonlinear Feedback Sampled Data Systems


The Analysis Of Nonlinear Feedback Sampled Data Systems
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Author : Mangalore Anantha Pai
language : en
Publisher:
Release Date : 1961

The Analysis Of Nonlinear Feedback Sampled Data Systems written by Mangalore Anantha Pai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1961 with Data transmission systems categories.


Various techniques are available for the analysis of nonlinear sampled-data systems. Most of these methods use either the phase plane approach or the describing function technique. Since the performance of such a system is described, at sampling instants, by means of a difference equation, an approach based on the difference equation would seem to be both natural and direct. The principle of complex convolution for a transform is explained and its geometrical interpretation is given. It is shown how the application of the convolution transform is both direct and simple with respect to solving nonlinear difference equations when the equation is given in scalar form. Dependence of the convergence of the solution on the initial value and the degree of nonlinearity is pointed out. It is concluded that for difference equations of second order and higher, this method involves too much laborious computation to justify its use. A simple method is presented for examining free oscillations in a sampled-data system containing either relay or a saturating amplifier. In addition, a certain analytical technique, analogous to that for differential equations, is developed to investigate the stability of forced oscillations for certain types of nonlinear difference equations. (Author).



Control Of Uncertain Sampled Data Systems


Control Of Uncertain Sampled Data Systems
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Author : Geir E. Dullerud
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Control Of Uncertain Sampled Data Systems written by Geir E. Dullerud and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


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.