State space model

Online State Space Model Parameter Estimation in Synchronous Machines

The purpose of this paper is to present a new approach based on the Least Squares Error method for estimating the unknown parameters of the nonlinear 3rd order synchronous generator model. The proposed method uses the mathematical relationships between the machine parameters and on-line input/output measurements to estimate the parameters of the nonlinear state space model. The field voltage is...

A State-Space Striatal Model

hidden state estimation in the state space model with first-order autoregressive process noise

in this article, the discrete time state space model with first-order autoregressive dependent process noise is considered and the recursive method for filtering, prediction and smoothing of the hidden state from the noisy observation is designed. the explicit solution is obtained for the hidden state estimation problem. finally, in a simulation study, the performance of the designed method ...

Estimation of Core Inflation in Iran and Its Provinces Using Space State Model

The inflation rate, which measured using consumer price index, can be separated into a combination of two persistent and temporary components. This separating is particularly important in analyzing inflation rate and policies to control it. In fact, without knowing the persistent component of inflation, called core inflation, quantitative targeting of inflation may not be accurate. Core inflati...

Estimating Oil Products Demand by State-space Model and Relevant Guidelines for Price Liberalization

The purpose of this paper is to estimate oil products demand by the state-space model, taking into account the implications for price liberalization using the Kalman filter technique in the framework of a time-varying pattern. For this purpose, we use the data of the Energy Balance Sheet and the National Iranian Oil Refining and Distribution Company during the period of 1994-2017. Our model res...