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Neural Network Simulation of Photosynthetic Production

  • Conference paper
Engineering Applications of Neural Networks (EANN 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 383))

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Abstract

A neural network based optimal control synthesis is presented for solving optimal control problems with control and state constraints and discrete time delay. The optimal control problem is transcribed into nonlinear programming problem which is implemented with adaptive critic neural network. The proposed simulation methods is illustrated by the optimal control problem of photosynthetic production described by discrete time delay differential equations. Results show that adaptive critic based systematic approach holds promise for obtaining the optimal control with control and state constraints.

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Author information

Authors and Affiliations

  1. Department of Informatics, Constantine the Philosopher University, Tr. A. Hlinku 1, 949 74, Nitra, Slovakia

    Tibor Kmet

  2. Department of Mathematics, Constantine the Philosopher University, Tr. A. Hlinku 1, 949 74, Nitra, Slovakia

    Maria Kmetova

Authors
  1. Tibor Kmet
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  2. Maria Kmetova
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Editor information

Editors and Affiliations

  1. Department of Forestry & Management of the Environment and Natural Resources, Democritus University of Thrace, GR-68200, Orestiada, Hellas

    Lazaros Iliadis

  2. Frederick University of Cyprus, Cyprus

    Harris Papadopoulos

  3. Faculty of Engineering and Computing, Coventry University, UK

    Chrisina Jayne

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Kmet, T., Kmetova, M. (2013). Neural Network Simulation of Photosynthetic Production. In: Iliadis, L., Papadopoulos, H., Jayne, C. (eds) Engineering Applications of Neural Networks. EANN 2013. Communications in Computer and Information Science, vol 383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41013-0_6

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  • DOI: https://doi.org/10.1007/978-3-642-41013-0_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41012-3

  • Online ISBN: 978-3-642-41013-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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