---------------------------------------------------------------------***--------------------------------------------------------------------Abstract In the last 20 years Permanent Magnet Synchronous Machine (PMSM) are becoming more indispensable in many industrial applications. The PMSM is superior to both induction motor drives and DC motor drives because of the inherent advantages of these mo...

This paper presents a scheme to identify the blur parameters using support vector machine (SVM) Multiclass approach has been used to classify the length of motion blur and sigma parameter of atmospheric blur. Different models of SVM have been constructed to classify the parameters. Experimental results show the robustness of the proposed approach to classify blur parameters.

The Lattice Boltzmann Equation is briefly introduced using moments to clearly separate the propagation and collision steps in the dynamics. In order to identify unknown parameters we introduce a cost function and adapt control theory to the Lattice Boltzmann Equation to get expressions for the derivatives of the cost function vs. parameters. This leads to an equivalent of the adjoint method wit...

Transient ow analyses have numerous geophysical and geotechnical applications and they are necessary for the understanding and development of laboratory measurement techniques in rock and soil mechanics, particularly in the determination of the permeability of substances. In this paper, we formulate a Genetic Algorithm inversion technique for the retrieval of homogeneous or spacewise dependent ...

We consider an electrohydraulic valve system (EHVS) model with uncertain parameters that may possibly vary with time. This is a nonlinear third order system consisting of two clearly separated subsystems, one for the piston position and the other for the chamber pressure. The nonlinearities involved are flow-pressure characteristics of the solenoid valves, the pressure dynamics of the chamber d...

This paper considers the problem of parameter identification and speed estimation of a three-phase squirrelcage induction motor using Virtual Instrumentation. LabVIEW is the graphical development environment for creating flexible and scalable test, measurement, and control applications rapidly and at minimal cost. With LabVIEW, interface with real-world signals, analyze data for meaningful info...

Biometric Identification Protocol with Random Parameter is modelled in the current paper by using Petri Nets, namely with the modern extension of Petri Nets-Colored Petri Nets. The purpose of modelling Biometric Identification Protocol with Random Parameter by the use of Petri Nets is to reveal the following aspects of the functioning model: The efficiency of the model; Behaviour; The existence...

To improve the problem that the parameter identification for fuzzy neural network has many time complexities in calculating, an improved T-S fuzzy inference method and an parameter identification method for fuzzy neural network are proposed. It mainly includes three parts. First, improved fuzzy inference method based on production term for T-S Fuzzy model is explained. Then, compared with exist...

An approach for hybrid model parameter identification based on sensitivity equations approach is tested on a hybrid model for biosurfactant production process. The computer simulations were performed using software tools created in Matlab (The MathWorks, Inc.) environment. Possible difficulties and ways of practical implementation of the analyzed identification algorithms for the identification...