A mostrar 1 - 4 resultados de 4 para a pesquisa 'Rigatos, Gerasimos G.', tempo de pesquisa: 0.01seg Refinar resultados
  1. 1

    State-space approaches for modelling and control in financial engineering systems theory and machine learning methods Por Rigatos, Gerasimos G. 1971-

    Publicado em 2017
    Available for University of the Philippines System via SpringerLink. Click here to access
    Also available remotely for University of the Philippines System via SpringerLink. Click here to access thru EZproxy
    Electronic Resource

    State-space approaches for modelling and control in financial engineering systems theory and machine learning methods
  2. 2

    Nonlinear control and filtering using differential flatness approaches applications to electromechanical systems Por Rigatos, Gerasimos G. 1971-

    Publicado em 2015
    Available for University of the Philippines System via SpringerLink. Click here to access
    Also available remotely for University of the Philippines System via SpringerLink. Click here to access thru EZproxy
    Electronic Resource

    Nonlinear control and filtering using differential flatness approaches applications to electromechanical systems
  3. 3

    Advanced models of neural networks nonlinear dynamics and stochasticity in biological neurons Por Rigatos, Gerasimos G.

    Publicado em 2015
    Available for University of the Philippines System via SpringerLink. Click here to access
    Also available remotely for University of the Philippines System via SpringerLink. Click here to access thru EZproxy
    Electronic Resource

    Advanced models of neural networks nonlinear dynamics and stochasticity in biological neurons
  4. 4

    Modelling and control for intelligent industrial systems adaptive algorithms in robotics and industrial engineering Por Rigatos, Gerasimos G. 1971-

    Publicado em 2011
    Available for University of the Philippines Diliman via SpringerLink. Click here to access
    Electronic Resource

    Modelling and control for intelligent industrial systems adaptive algorithms in robotics and industrial engineering

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