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Radial Basis Function Networks Simulation of Age-Structure Population

  • Tibor Kmet
  • Maria Kmetova
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11324)

Abstract

Based on radial basis function networks (RBFN) we propose a new method to solve optimal control problems for systems governed by hyperbolic partial differential equations. RBFN are able to approximate continuous function with given precision [1]. This property of RBFN was used to estimate optimal control, optimal state trajectory and optimal co-state trajectory by adaptive critic design. A new algorithm was verified and compared with indirect methods on the harvesting model of age-dependent population.

Keywords

Radial basis function networks Hyperbolic optimal control problem Adaptive critic synthesis Age-dependent population model Numerical simulations 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Department of Mathematics and InformaticsJ. Selye UniversityKomarnoSlovakia

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