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200 284 (0,58s)

Result

IDENTIFICATION OF SHOCK ABSORBER NONLINEAR MODEL CHARACTERISTICS

The paper shows the possible way of identification of shock absorber nonlinear model characteristics using genetic algorithm. 2 DOF quarter car model is used with nonlinear characteristics of main...

BI - Akustika a kmity

  • 2006
  • D
Result

The Influence of GA Initial Boundaries on the Identification of Nonlinear Damping Characteristics of Shock Absorber

The paper is focused on the simulation identification of nonlinear damping characteristics of the shock absorber using genetic algorithm (GA). 2 DOF quarter car model is used with nonlinear characteristics...

JR - Ostatní strojírenství

  • 2007
  • D
Result

Efficient Nonlinear Models of Automotive Dampers

The paper deals with the creation of the global phenomenological damper model using the neuro-fuzzy identification algorithm LOLIMOT. The models are identified based on the measured data of passenger car shock abso...

JO - Pozemní dopravní systémy a zařízení

  • 2009
  • D
Result

Cost Function Definition Reduction in Shock Absorber Identification Task Through GA

Genetic algorithm proved to be usable for the identification of shock absorber nonlinear model characteristics (two masses quarter car model with piecewise function of damping force). However the cost func...

JR - Ostatní strojírenství

  • 2007
  • D
Result

Model Identification Usind Nonlinear Optimization

A VBA application for model identification is presented in the paper. A nonlinear optimization technigue is applied to set model parameters. Few case studies are described....

JD - Využití počítačů, robotika a její aplikace

  • 2009
  • D
Result

Identification of Nonlinear Properties of Controllable Damper by Lolimot Models

The paper deals with the identification of nonlinear properties of controllable damper by Lolimot models.

JR - Ostatní strojírenství

  • 2007
  • 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

Material Model Parameters Identification of Blast Environment

in modelling and simulation domain. For this reason, there is a clear necessity to find the right connection between numerical simulation and experiment. Fast, nonlinear processes require nonlinear material models...

Other social sciences

  • 2018
  • Jost
  • Link
Result

Identification and control of the plant using Hammerstein model

This paper deals nonlinear plant identification and control using Hammerstein model. The paper consists of the three parts. The first part of this paper describes principle of Hammerstein model and its structure. T...

BC - Teorie a systémy řízení

  • 2011
  • O
Result

Identification of nonlinear systems using MISO model with Swept-Sine technique

This work presents a Multiple Input Single Output (MISO) nonlinear model in combination with sine-sweep signals as a method for nonlinear system identification. The method is used for identification of lou...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2008
  • D
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