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271 610 (0,245s)

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Not Parametric Identification and Control with Neural Network of Dynamic Systems

In this work we present an approach to the identification and control with uncertainty by using not parametric neural network identification and control. The base of the method is the NNARX neural...

BC - Teorie a systémy řízení

  • 2003
  • D
Result

Neural Network Based Model Parameter Estimation in Self-Tuning Controllers

This paper deals with problems connected with identification in adaptive control. The classic recursive identification algorithms versus new approach based on neural networks are discussed. The identif...

JB - Senzory, čidla, měření a regulace

  • 2006
  • D
Result

Kalman filtering based methods for identification of nonlinear systems by neural networks

Identification of nonlinear system using neural networks and Kalman filtering based methods are treated. The stress is laid on networks parameters estimation, particularly by derivative-free Kalman filter ...

BC - Teorie a systémy řízení

  • 2005
  • D
Result

Neural network based identification of material model parameters to capture experimental load-deflection curve.

A new approach for material model parameters identification is presented. The approach is based on coupling of the stochastic nonlinear analysis and teh artificial neural network....

JM - Inženýrské stavitelství

  • 2004
  • Jx
Result

Application of Feed-Forwarded Neural Networks to Knowledge-Based Identification of Kinetic Models

Application of Feed-Forwarded Neural Networks to Knowledge-Based Identification of Kinetic Models...

CI - Průmyslová chemie a chemické inženýrství

  • 2000
  • A
Result

Application of Feed-Forward Neural Networks to Knowledge-Based Identification of Kinetic Models

Application of Feed-Forward Neural Networks to Knowledge-Based Identification of Kinetic Models...

CI - Průmyslová chemie a chemické inženýrství

  • 2000
  • A
Result

Identification in Adaptive Control, Neural Network for Linear Model Parameter Estimation

This paper deals with problems connected with identification in adaptive control. Firstly, it examines the relation between the classical recursive identification algorithms and the new approach based on neural

JB - Senzory, čidla, měření a regulace

  • 2006
  • D
Result

Possibility of Using Neural Network Based Identification in Adaptive Controllers

This paper deals with possibility of a neural network identification applicable cases oof the various neural types are introduced. The most extended neural networks for a proper function of the cl...

JB - Senzory, čidla, měření a regulace

  • 2005
  • D
Result

Nonlinear identification based on RBF neural network

This article is focused on the off-line identification of nonlinear dynamic systems. Hammerstein model was used for this identification. RBF (Radial Basis Function) neural network is used here to approximate the in...

BC - Teorie a systémy řízení

  • 2011
  • Jx
Result

The mathematical description of time constants identification of building heating system based on neural networks

Development of an algorithm identifying the time constant of the building heating system (generally ) based on neural networks . The mathematical description of the identification of the time constant of the buildi...

JE - Nejaderná energetika, spotřeba a užití energie

  • 2015
  • Vsouhrn
  • 1 - 10 out of 271 610