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Marine Systems Identification, Modeling and Control

Marine Systems Identification, Modeling and Control

Marine Systems Identification, Modeling and Control
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ISBN-10:
0080999964
ISBN-13:
9780080999968
Pub. Date:
03/18/2015
Publisher:
Elsevier Science
ISBN-10:
0080999964
ISBN-13:
9780080999968
Pub. Date:
03/18/2015
Publisher:
Elsevier Science
Marine Systems Identification, Modeling and Control

Marine Systems Identification, Modeling and Control

Overview

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, including system representation and transfer, feedback control and closed loop stability. Simulation code and worked examples are provided for both Scilab and MATLAB, making it suitable for both those without access to expensive software and those using MATLAB in a professional setting. This title considers the key topics without superfluous detail and is illustrated with marine industry examples.

Product Details

ISBN-13: 9780080999968
Publisher: Elsevier Science
Publication date: 03/18/2015
Pages: 190
Product dimensions: 6.00(w) x 8.90(h) x 0.50(d)

About the Author

Prof. Roskilly has taught marine control at undergraduate and postgraduate level for more than 20 years. He has extensive research experience and a strong publication track record in the modeling and control of complex systems. He is a member of the Technical Committee for Marine Systems, International Federation of Automatic Control (IFAC), a Fellow of the Institute of Marine Engineering, Science and Technology (IMarEST) and Editor of the IMarEST Journal of Marine Engineering and Technology.

Dr. Mikalsen has supported the delivery of on-campus and distance learning courses in marine dynamics and control for more than 6 years, including teaching the use of software tools for simulation and analysis of dynamic systems and development of teaching material for these courses. In addition to his first degree in Marine Engineering he has a PhD in modelling and simulation of thermal power systems.

Table of Contents

1. Introduction
2. System representation in the time domain
3. System transfer functions
4. Feedback control
5. Closed loop stability
6. Frequency domain analysis
7. System realities and practice
Appendix A. Modeling dynamic systems in Scilab
Appendix B. Mathematics background
Appendix C. Laplace transforms table

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A concise and practical guide to control systems for marine engineering students and professionals, with marine control examples and applications throughout

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