[PDF] Data And Control Systems eBook

Author : Tongwen Chen
Publisher : Springer Science & Business Media
Page : 376 pages
File Size : 17,59 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 1447130375

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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.

Author : Steven L. Brunton
Publisher : Cambridge University Press
Page : 615 pages
File Size : 10,34 MB
Release : 2022-05-05
Category : Computers
ISBN : 1009098489

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A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Author : John Park
Publisher : Newnes
Page : 434 pages
File Size : 39,21 MB
Release : 2003-07-28
Category : Computers
ISBN : 9780750657969

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Introduction to Data Acquisition & Control; Analog and Digital Signals; Signal Conditioning; The Personal Computer for Real Time Work; Plug-in Data Acquisition Boards; Serial Data Communications; Distributed & Standalone Loggers/Controllers; IEEE 488 Standard; Ethernet & LAN Systems; The Universal Serial Bus (USB); Specific Techniques; The PCMCIA Card; Appendix A: Glossary; Appendix B: IBM PC Bus Specifications; Appendix C: Review of the Intel 8255 PPI Chip; Appendix D: Review of the Intel 8254 Timer-Counter Chip; Appendix E: Thermocouple Tables; Appendix F: Numbers Systems; Appendix G: GPIB (IEEE-488) Mnemonics & their Definition; Appendix H: Practical Laboratories & Demonstrations; Appendix I: Command Structure & Programming.

Author : Alexandre Sanfelice Bazanella
Publisher : Springer Science & Business Media
Page : 222 pages
File Size : 34,23 MB
Release : 2011-11-16
Category : Technology & Engineering
ISBN : 9400723008

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Data-Based Controller Design presents a comprehensive analysis of data-based control design. It brings together the different data-based design methods that have been presented in the literature since the late 1990’s. To the best knowledge of the author, these data-based design methods have never been collected in a single text, analyzed in depth or compared to each other, and this severely limits their widespread application. In this book these methods will be presented under a common theoretical framework, which fits also a large family of adaptive control methods: the MRAC (Model Reference Adaptive Control) methods. This common theoretical framework has been developed and presented very recently. The book is primarily intended for PhD students and researchers - senior or junior - in control systems. It should serve as teaching material for data-based and adaptive control courses at the graduate level, as well as for reference material for PhD theses. It should also be useful for advanced engineers willing to apply data-based design. As a matter of fact, the concepts in this book are being used, under the author’s supervision, for developing new software products in a automation company. The book will present simulation examples along the text. Practical applications of the concepts and methodologies will be presented in a specific chapter.

Author : Ali Khaki-Sedigh
Publisher : John Wiley & Sons
Page : 389 pages
File Size : 40,13 MB
Release : 2023-12-19
Category : Science
ISBN : 1394196407

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An Introduction to Data-Driven Control Systems An introduction to the emerging dominant paradigm in control design Model-based approaches to control systems design have long dominated the control systems design methodologies. However, most models require substantial prior or assumed information regarding the plant’s structure and internal dynamics. The data-driven paradigm in control systems design, which has proliferated rapidly in recent decades, requires only observed input-output data from plants, making it more flexible and broadly applicable. An Introduction to Data-Driven Control Systems provides a foundational overview of data-driven control systems methodologies. It presents key concepts and theories in an accessible way, without the need for the complex mathematics typically associated with technical publications in the field, and raises the important issues involved in applying these approaches. The result is a highly readable introduction to what promises to become the dominant control systems design paradigm. Readers will also find: An overview of philosophical-historical issues accompanying the emergence of data-driven control systems Design analysis of several conventional data-driven control systems design methodologies Algorithms and simulation results, with numerous examples, to facilitate the implementation of methods An Introduction to Data-Driven Control Systems is ideal for students and researchers in control theory or any other research area related to plant design and production.

Author : Kamran Iqbal
Publisher : CRC Press
Page : 323 pages
File Size : 19,27 MB
Release : 2022-09-01
Category : Science
ISBN : 1000794563

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Control systems are pervasive in our lives. Our homes have environmental controls. The appliances we use, such as the washing machine, microwave, etc. carry embedded controllers in them. We fly in airplanes and drive automobiles that extensively use control systems. The industrial plants that produce consumer goods run on process control systems. The recent drive toward automation has increased our reliance on control systems technology.This book discusses control systems design from a model-based perspective for dynamic system models of single-input single-output type. The emphasis in this book is on understanding and applying the techniques that enable the design of effective control systems in multiple engineering disciplines. The book covers both time-domain and the frequency-domain design methods, as well as controller design for both continuous-time and discrete-time systems. MATLAB© and its Control Systems Toolbox are extensively used for design.

Author : Shuang-Hua Yang
Publisher : Springer Science & Business Media
Page : 215 pages
File Size : 33,97 MB
Release : 2011-02-09
Category : Technology & Engineering
ISBN : 1849963592

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The Internet plays a significant and growing role in real-time industrial manufacturing, scheduling and management. A considerable research effort has led to the development of new technologies that make it possible to use the Internet for supervision and control of industrial processes. Internet-based Control Systems addresses the challenges that need to be overcome before the Internet can be beneficially used not only for monitoring of but also remote control industrial plants. New design issues such as requirement specification, architecture selection and user-interface design are dealt with. Irregular data transmission and data loss and, in extreme cases, whole-system instability may result from Internet time-delay; this book guards against such phenomena from both computer science and control engineering perspectives. Security breaches and safety risks in an Internet-based control system could have very serious consequences and the author gives specific advice for avoiding them. This book is unique in bringing together multiple strands of research, mainly from computer science and control engineering, into an over-arching study of the entire subject. Practical perspectives are explored both through case studies in several chapters and through real applications including: · robot arm control; · web-based simulator for a catalytic reactor; · virtual supervision parameter control of a water tank system; · model predictive control for a process control unit; · remote control performance monitoring and maintenance; · remote control system design and implementation; Internet-based Control Systems is a useful introduction and guide for researchers in control engineering and computer science and developers of real-time Internet-enabling software. It can also be used for teaching a final year option or elective on Internet-enabled real-time system design, or as an advanced example of real-time software design for graduates.

Author : Ioan Doré Landau
Publisher : Springer Science & Business Media
Page : 497 pages
File Size : 42,77 MB
Release : 2007-05-11
Category : Technology & Engineering
ISBN : 1846280567

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The extraordinary development of digital computers (microprocessors, microcontrollers) and their extensive use in control systems in all fields of applications has brought about important changes in the design of control systems. Their performance and their low cost make them suitable for use in control systems of various kinds which demand far better capabilities and performances than those provided by analog controllers. However, in order really to take advantage of the capabilities of microprocessors, it is not enough to reproduce the behavior of analog (PID) controllers. One needs to implement specific and high-performance model based control techniques developed for computer-controlled systems (techniques that have been extensively tested in practice). In this context identification of a plant dynamic model from data is a fundamental step in the design of the control system. The book takes into account the fact that the association of books with software and on-line material is radically changing the teaching methods of the control discipline. Despite its interactive character, computer-aided control design software requires the understanding of a number of concepts in order to be used efficiently. The use of software for illustrating the various concepts and algorithms helps understanding and rapidly gives a feeling of the various phenomena.

Author : Carlo Novara
Publisher : Control, Robotics and Sensors
Page : 300 pages
File Size : 21,67 MB
Release : 2019-09
Category : Technology & Engineering
ISBN : 1785617125

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Using important examples, this book showcases the potential of the latest data-based and data-driven methodologies for filter and control design. It discusses the most important classes of dynamic systems, along with the statistical and set membership analysis and design frameworks.