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Zhong-Ping Jiang

Robust Adaptive Dynamic Programming

Ebook (PDF Format)

A comprehensive look at state-of-the-art ADP theory and real-world applications This book fills a gap in the literature by providing a theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control to address data-driven optimal control design challenges arising from both parametric and dynamic uncertainties. Traditional model-based approaches leave much to be desired when addressing the challenges posed by the ever-increasing complexity of real-world engineering systems. An alternative which has received much interest in recent years are biologically-inspired approaches, primarily RADP.… Mehr

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Produktdetails


Weitere Autoren: Jiang, Yu
  • ISBN: 978-1-119-13265-3
  • EAN: 9781119132653
  • Produktnummer: 25085816
  • Verlag: Wiley
  • Sprache: Englisch
  • Erscheinungsjahr: 2017
  • Seitenangabe: 216 S.
  • Plattform: PDF
  • Masse: 12'151 KB

Über den Autor


Yu Jiang, PhD, is a Software Developer of Simulink Control Design at MathWorks. In the past five years, he has published nearly 30 papers and one book chapter on the subject of ADP theory and its applications. He was the recipient of the Shimemura Young Author Prize (with Prof. Z.P.Jiang) at the 9th Asian Control Conference in Istanbul, Turkey, 2013. Zhong-Ping Jiang, PhD, is a Professor of Electrical and Computer Engineering at New York University with a doctorate in automatic control and mathematics. He has authored three books and over 400 journal and conference papers on nonlinear systems and control, dynamic networks, and more.

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