This paper deals with the experimental identification of the dynamic parameters of the C5 parallel robot. The inverse dynamic model of the robot is formulated under the form of linear equation with respect to the dynamic parameters. Moreover, a heuristic procedure for finding the exciting trajectory has been conducted. This trajectory is based on Fourier series whose coefficients are determined...

In this paper, an efficient technique is presented to identify a 2500 KW wind turbine operating in Kahak wind farm, Qazvin province, Iran. This complicated system dealing with wind behavior is identified by using a proposed fractional order dynamic neural network (FODNN) optimized with evolutionary computation. In the proposed method, some parameters of FODNN are unknown during the process of i...

A general approach for system identification with artificial neural networks is presented. A dynamic process can be represented as a function of the evolution of the inputs/outputs of the system. The standard approach to system identification is to describe the system by a set of equations that take into account the underlying mechanisms of the studied plant. If the equations of the system are ...

We present a new blur identification procedure based on a hybrid, two-level evolutionary-deterministic scheme which allows dynamic optimization of the size and the pattern of the support of the point spread function. We demonstrate that the proposed techniques can be generalized to the case of multi-band identification. Numerical simulations demonstrate the overall priority of the proposed iden...

The adaptive fuzzy and fuzzy neural models are being widely used for identification of dynamic systems. This paper describes different fuzzy logic and neural fuzzy models. The robustness of models has further been checked by Simulink implementation of the models with application to the problem of system identification. The approach is to identify the system by minimizing the cost function using...

Input variables selection (IVS) is proved to be pivotal in nonlinear dynamic system modeling. In order optimize the model of system, a fuzzy modeling method for determining premise structure by selecting important inputs studied. Firstly, simplified two stage curves proposed, which employed sort all possible their relevance with outputs, select input and identify structure. Secondly, reduce com...

• A novel video-based indirect measurement procedure for SHM projects. three-step modification process inappropriate conditions in video records. No need high-speed cameras and expensive record equipment. Experimental modal characteristics time history responses are the main outputs. Effective accurate field-measurement of historical structures. sensing dynamic identification purposes is presen...

serum albumin is the most aboundant protein in blood plasma. its two major roles aremaintaining osmotic pressure and depositing and transporting compounds. in this paper,albumin-methanol solution simulation is carried out by three techniques including montecarlo (mc), molecular dynamic (md) and langevin dynamic (ld) simulations. byinvestigating energy changes by time and temperature (between 27...