The Robust Maximum Principle: Theory and Applications (Systems & Control: Foundations & Applications) 2012th Edition by Vladimir G. Boltyanski (PDF)

    2

     

    Ebook Info

    • Published: 2012
    • Number of pages: 653 pages
    • Format: PDF
    • File Size: 2.79 MB
    • Authors: Vladimir G. Boltyanski

    Description

    Covering some of the key areas of optimal control theory (OCT), a rapidly expanding field, the authors use new methods to set out a version of OCT’s more refined ‘maximum principle.’ The results obtained have applications in production planning, reinsurance-dividend management, multi-model sliding mode control, and multi-model differential games. This bookexplores material that will be of great interest to post-graduate students, researchers, and practitioners in applied mathematics and engineering, particularly in the area of systems and control.

    User’s Reviews

    Reviews from Amazon users which were colected at the time this book was published on the website:

    Keywords

    Free Download The Robust Maximum Principle: Theory and Applications (Systems & Control: Foundations & Applications) 2012th Edition in PDF format
    The Robust Maximum Principle: Theory and Applications (Systems & Control: Foundations & Applications) 2012th Edition PDF Free Download
    Download The Robust Maximum Principle: Theory and Applications (Systems & Control: Foundations & Applications) 2012th Edition 2012 PDF Free
    The Robust Maximum Principle: Theory and Applications (Systems & Control: Foundations & Applications) 2012th Edition 2012 PDF Free Download
    Download The Robust Maximum Principle: Theory and Applications (Systems & Control: Foundations & Applications) 2012th Edition PDF
    Free Download Ebook The Robust Maximum Principle: Theory and Applications (Systems & Control: Foundations & Applications) 2012th Edition

    Previous articleModuli of K-stable Varieties (Springer INdAM Series Book 31) by Giulio Codogni (PDF)
    Next articleAdvanced Mathematical Tools for Automatic Control Engineers: Volume 2: Stochastic Systems 1st Edition by Alex Poznyak (PDF)