Last edited by Nashura
Wednesday, August 5, 2020 | History

5 edition of Modeling and Control of Engineering Systems found in the catalog.

Modeling and Control of Engineering Systems

by Clarence W. de Silva

  • 266 Want to read
  • 35 Currently reading

Published by CRC .
Written in English

    Subjects:
  • Engineering (General),
  • Technology / Engineering / General,
  • Technology & Engineering,
  • Technology & Industrial Arts,
  • Science/Mathematics

  • The Physical Object
    FormatHardcover
    ID Numbers
    Open LibraryOL11817440M
    ISBN 101420076868
    ISBN 109781420076868

    Written for engineering students, practicing professionals, and researchers, this book provides a unified treatment of the modeling of mechanical, electrical, fluid, and thermal systems. Topics covered include conventional, advanced, and intelligent control, instrumentation, experimentation, and design. The primary emphasis of this book is the modeling, analysis, and control of mechanical systems. The methods and results presented can be applied to a large class of mechanical control systems, including applications in robotics, autonomous vehicle control, and multi-body systems. The book is unique.

    The nest portion of the text deals with modeling systems from various physical domains (electrical, fluid, and thermal) and systems which combine many physical domains. The book concludes with an introduction to the concepts and theory pertinent to automatic 4/5(4). Craig Kluever s Dynamic Systems: Modeling, Simulation, and Control highlights essential topics such as analysis, design, and control of physical engineering systems, often composed of interacting mechanical, electrical and fluid subsystem components. The major topics covered in this text include mathematical modeling, system-response analysis, and an introduction to feedback control systems.

    Control engineering is the engineering discipline that focuses on the modeling of a diverse range of dynamic systems (e.g. mechanical systems) and the design of controllers that will cause these systems to behave in the desired manner. Although such controllers need not be electrical, many are and hence control engineering is often viewed as a. The simulation of complex, integrated engineering systems is a core tool in industry which has been greatly enhanced by the MATLAB and Simulink software programs. The second edition of Dynamic Systems: Modeling, Simulation, and Control teaches engineering students how to leverage powerful simulation environments to analyze complex systems.


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Modeling and Control of Engineering Systems by Clarence W. de Silva Download PDF EPUB FB2

Control ensures accurate operation of a system. Proper control of an engineering system requires a basic understanding and a suitable representation (model) of the system.

This book builds up expertise in modeling and control so that readers can further their analytical skills in hands-on by: Examples of control systems used in industry Control theory is a relatively new field in engineering when compared with core topics, such as statics, dynamics, thermodynamics, etc.

Early examples of control systems were developed actually before the science was fully understood. He pursues research in modeling and control of engineering and biological systems.

Lowen Shearer () received his ScD from Massachusetts Institute of Technology. At MIT between andhe served as both the group leader in the Dynamic Analysis and Control Laboratory and as a member of the Mechanical Engineering by: Summary.

Developed from the author’s academic and industrial experiences, Modeling and Control of Engineering Systems provides a unified treatment of the modeling of mechanical, electrical, fluid, and thermal systems and then systematically covers conventional, advanced, and intelligent control, instrumentation, experimentation, and design.

It includes theory, analytical techniques, popular. Modeling of Control Systems. By Roger Chiu, Francisco J. Casillas, Didier López-Mancilla, Francisco G. Peña-Lecona, Miguel Mora-González and Jesús Muñoz Maciel. Submitted: September 19th Reviewed: January 17th Published: September 8th DOI: /Cited by: 4.

Machine Learning, Dynamical Systems and Control Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science.

Book Description. Developed from the author’s academic and industrial experiences, Modeling and Control of Engineering Systems provides a unified treatment of the modeling of mechanical, electrical, fluid, and thermal systems and then systematically covers conventional, advanced, and intelligent control, instrumentation, experimentation, and design.

This textbook is ideal for an undergraduate course in Engineering System Dynamics and Controls. It is intended to provide the reader with a thorough understanding of the process of creating mathematical (and computer-based) models of physical systems.4/5(4). Control ensures accurate operation of a system.

Proper control of an engineering system requires a basic understanding and a suitable representation (model) of the system. This book builds up expertise in modeling and control so that readers can further their analytical skills in hands-on settings.

Developed from the author's academic and industrial experiences, Modeling and Control of Engineering Systems provides a unified treatment of the modeling of mechanical, electrical, fluid, and thermal systems and then systematically covers conventional, advanced, and intelligent control, instrumentation, experimentation, and design.

It includes theory, analytical4/5(1). The objective of this book is to present the methodologies and techniques of modeling and control of dynamic systems.

The book pretends, above all, be a didactic text to teach and receive classes. Marine Systems Identification, Modeling and Control is a concise, stand-alone resource covering the theory and practice of dynamic systems and control for marine engineering students and professionals. Developed from a distance learning CPD course on marine control taught by the authors, the book presents the essentials of the subject.

Mathematical Modeling of Control Systems 2–1 INTRODUCTION In studying control systems the reader must be able to model dynamic systems in math-ematical terms and analyze their dynamic characteristics.A mathematical model of a dy-namic system is defined as a set of equations that represents the dynamics of the system.

14 videos Play all Control Systems Engineering Benjamin Drew For the Love of Physics - Walter Lewin - - Duration: Lectures by Walter Lewin.

I used a portfolio of books, since my classes in control engineering covered a variety of topics. The three main books that I used were: [1] R. Dorf and R. Bishop. Modern Control Systems. Pearson Education, Upper Saddle River, NJ, elev. Modeling and Control of Engineering Systems -- 2.

Modeling of Dynamic Systems -- 3. Model Linearization -- 4. Linear Graphs -- 5. Transfer-Function and Frequency-Domain Models -- 6. Response Analysis and Simulation -- 7.

Control System Structure and Performance -- 8. Stability and Root Locus Method -- 9. Controller Design and Tuning -- Reviews "Coordinating the diversity of their experience, the authors: provide unique and systematic explanations for the modeling of nonlinear systems, optimization, and control of various engineering problems, without depending on mathematical models gives industrial researchers and practitioners a detailed analysis of practical issues in the development of applied intelligent systems.

Book Abstract: Discusses the application of mathematical and engineering tools for modeling, simulation and control oriented for energy systems, power electronics and renewable energy. This book builds on the background knowledge of electrical circuits, control of dc/dc converters and inverters, energy conversion and power electronics.

Following a concurrent engineering approach, supported by industrial case studies, and drawing on the practical experience of the authors, Intelligent Mechatronic Systems covers range of topic and includes: An explanation of a common graphical tool for integrated design and its uses from modeling and simulation to the control synthesis.

Download Control Systems Engineering By Kani – Highly regarded for its case studies and accessible writing, Control Systems Engineering is a valuable resource for engineers. It takes a practical approach while presenting clear and complete explanations.

Real world examples demonstrate the analysis and design process. The Book Provides An Integrated Treatment Of Continuous-Time And Discrete-Time Systems For Two Courses At Undergraduate Level Or One Course At Postgraduate Level.

The Stress Is On The Interdisciplinary Nature Of The Subject And Examples Have Been Drawn From Various Engineering Disciplines To Illustrate The Basic System Concepts. A Strong Emphasis Is Laid On Modeling Of /5(31).Modelling and Precision Control of Systems with Hysteresis covers the piezoelectric and other smart materials that are increasingly employed as actuators in precision engineering, from scanning probe microscopes (SPMs) in life science and nano-manufacturing, to precision active optics in astronomy, including space laser communication, space imaging cameras, and the micro-electro-mechanical.

Hiroki Sayama. Hiroki Sayama,is an Associate Professor in the Department of Systems Science and Industrial Engineering, and the Director of the Center for Collective Dynamics of Complex Systems (CoCo), at Binghamton University, State University of New York.

He received his BSc, MSc and DSc in Information Science, all from the University of Tokyo, : Hiroki Sayama.