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116 269 (0,173s)

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Pre-identification for Real-time Control

The chapter deals with the algorithm named as pre-identification, which denotes the simple general identification algorithm used for the system identification. The identification is realized before the system is

JD - Využití počítačů, robotika a její aplikace

  • 2009
  • D
Result

Modern Control: Identification of delta models a adaptive control

identification and adaptive control using delta models...

BC - Teorie a systémy řízení

  • 2003
  • Jx
Result

Real-time control with pre-identification

-identification at real-time control of systems described in the form of polynomials. The controlled system is supposing to be completely identified before the control task starts, i.e., there is no identificat...

JB - Senzory, čidla, měření a regulace

  • 2009
  • D
Result

Adaptive optimal controllers with principles of artificial intelligence

This article considers adaptive optimal controllers. It shows principles of optimal controllers, recursive identification using least-mean squares method and identification based on neural network....

BC - Teorie a systémy řízení

  • 2010
  • D
Result

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 network....

BC - Teorie a systémy řízení

  • 2003
  • D
Result

Possibilities of delta model modification for identification and control

for identification and process control by self-tuning controller. The high frequency of process identification enables process parameters of system near to continuous values. Here it is shown inversion dynamics me...

BC - Teorie a systémy řízení

  • 2000
  • D
Result

Possibilities of delta model modification for identification and control

for identification and process control by self-tuning controller. The high frequency of process identification enables process parameters of system near to continuous values. Here it is shown inversion dynamics me...

BC - Teorie a systémy řízení

  • 2000
  • D
Result

Using Pseudo-Random Signal for Speeding Up of Identification

signal to speed-up convergence of identification. Two types of identification are used, recursive least square identification and identification based on neural networks with Levenberg-Marquardt learning method. L...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2008
  • D
Result

Adaptive Controllers with Process Identification Based on Modern Control Methods

The paper deals with problems connected with process identification. The process model estimation is the main part of adaptive controller. Classical recursive identification algorithms (RLS, LDFIL) are discussed. The neural...

JB - Senzory, čidla, měření a regulace

  • 2006
  • D
Result

Robust process identification for automatic tuning of controllers

The paper deals with a new process identification method for automatic tuning of industrial controllers. The aim of this method is to provide a suitable model set for robust controller design based on a simple identific...

BC - Teorie a systémy řízení

  • 2008
  • Jx
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