Study of Linear, Time-varying Sampled-data Control Systems PDF Download
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Author: Antti Jaakko Koivuniemi
Publisher:
ISBN:
Category : Feedback control systems
Languages : en
Pages : 266
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Book Description
Author: Antti Jaakko Koivuniemi
Publisher:
ISBN:
Category : Feedback control systems
Languages : en
Pages : 266
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Book Description
Author: Akira Ichikawa
Publisher:
ISBN: 9781447139409
Category :
Languages : en
Pages : 376
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Book Description
Author: Tongwen Chen
Publisher: Springer Science & Business Media
ISBN: 1447130375
Category : Technology & Engineering
Languages : en
Pages : 376
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Book Description
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.
Author: Akira Ichikawa
Publisher: Springer Science & Business Media
ISBN: 9781852334390
Category : Medical
Languages : en
Pages : 382
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Book Description
This monograph considers linear optimal regulators, differential games and develops the theory for time-varying systems and jump systems.
Author: Rhiza Samsoe'oed Sadjad
Publisher:
ISBN:
Category :
Languages : en
Pages : 426
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Book Description
Author: Juan I. Yuz
Publisher: Springer Science & Business Media
ISBN: 1447155629
Category : Technology & Engineering
Languages : en
Pages : 288
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Book Description
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.
Author: R. Gopalakrishnan
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 336
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Author: Charles Phillips Shortwell
Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 148
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Author: Francis Joseph Mullin
Publisher:
ISBN:
Category :
Languages : en
Pages : 32
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Author: Amin Ramezanifar
Publisher:
ISBN:
Category : Mechanical engineering
Languages : en
Pages :
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Book Description
In this dissertation we address a variety of problems in filtering and control of dynamic systems with emphasis on their digital implementation. We focus on linear parameter varying (LPV) systems which have been widely utilized in engineering applications. LPV systems include a class of linear systems whose dynamic depends on time-varying parameters. These systems have resulted in significant improvements in the study of time-varying and nonlinear systems. In a filtering problem, we aim to estimate the states of a dynamic system by utilizing the output measurement of the system. Applications of filters abound in practical and theoretical problems. In a control problem, the objective is to design a controller to ensure the closed-loop system stability and often to satisfy a prescribed level of performance. A main concern in the present study is the implementation of the controller or filter which is often fulfilled by means of a digital device operating in the discrete time domain. Due to the combination of the system continuous-time dynamics and the controller or filter discrete dynamics connected through analog to digital and digital to analog converter devices, the closed-loop system is a hybrid one and is difficult to analyze mathematically. The incorporation of continuous-time and discrete-time signals in a system is often referred to as sampled-data system. A particular difficulty in sampled-data systems is to ensure that the digital controller (filter) meets the design specifications in between the samples. In this dissertation, we develop new methods to take into account this requirement. Two chapters of this dissertation are devoted to the design of filters for LPV systems. First, we design a continuous-time filter for a continuous-time state-delayed LPV system whose dynamics includes a time varying delay. Next, we address the sampled-data filter design problem for continuous-time LPV systems. In the second part of this dissertation, we investigate the control problem of LPV systems in the framework of sampled-data design. First we present a new approach for the sampled-data control of continuous-time LPV systems. Next, we extend the established results for LPV systems with internal delay.