Methods to estimate the parameters and the time delay of continuous time transfer function models using different nonideal step inputs are presented. By nonideal step inputs we refer to excitation signals that initially change gradually or in smaller steps to a final value unlike the ideal step that requires a sudden jump equalling the size of the step. Many different forms of such input signal...

In this paper possibility of synchronous generator dynamic parameters estimation via On-Line Field Tests using Genetic Algorithm in a 400MVA synchronous generator in BISOTUN power plant in IRAN has been presented and simulated. On-Line (RTDR) time domain data are acquired by generator disturbance simulation. The direct and quadrature-axis dynamic parameters are found by processing the step resp...

Numerical solutions obtained by the Meshless Local Petrov-Galerkin (MLPG) method are presented for two dimensional steady-state heat conduction problems. The MLPG method is a truly meshless approach, and neither the nodal connectivity nor the background mesh is required for solving the initial-boundary-value problem. The penalty method is adopted to efficiently enforce the essential boundary co...

In this study, feature extraction from a transient response of a semiconductor gas sensor is investigated. For the sensor response given as the step response of the fi rstorder lag system, the sensor output can be approximated as a sum of exponentials by Prony’s method. The model parameters can be estimated as the time constant and the gain, which are inherent parameters for each gas. The param...

This paper focuses on sensor scheduling for state estimation, which consists of a network of noisy sensors and a discrete-time linear system with process noise. As an energy constraint, only a subset of sensors can take a measurement at each time step. These measurements are fused into a common state estimate using a Kalman filter and the goal is to schedule the sensors to minimize the estimati...

This paper deals with the control of the heat exchangers. Due to the resonant effect on this systems, simplified lumped parameters models obtained from the step response can be not enough appropriate to controller design if high performance is required. To design the control, instead of looking for a precise heat exchanger model obtained through complex experiments and sophisticated parameter e...

State estimation is essential to access observable network models for online monitoring and analyzing of power systems. Due to the integration of distributed energy resources and new technologies, state estimation in distribution systems would be necessary. However, accurate input data are essential for an accurate estimation along with knowledge on the possible correlation between the real and...