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Marine Systems Identification, Modeling and Control

Autor Tony Roskilly, Rikard Mikalsen
en Limba Engleză Paperback – 9 mar 2015
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.


  • Concise and practical, covering the relevant theory without excessive detail
  • Industry-specific examples and applications for marine engineering students and professionals
  • Clearly presents key topics of the subject, including system representation and transfer, feedback control and closed loop stability, making it ideal for self-study or reference
  • Simulation code and worked examples using Scilab and MATLAB provided on the book’s companion website
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Specificații

ISBN-13: 9780080999968
ISBN-10: 0080999964
Pagini: 190
Ilustrații: 200 illustrations
Dimensiuni: 152 x 229 x 13 mm
Greutate: 0.32 kg
Editura: ELSEVIER SCIENCE

Public țintă

Practicing marine engineers and other marine professionals needing a reference on the topic. Students in marine technology courses, including introductory courses to marine systems and control at undergraduate and postgraduate level. Graduates working in industry undertaking CPD/further qualification courses (like MTEC, in the UK) or self-study.

Cuprins

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