A pneumatic actuator is highly nonlinear, which makes the precise position control of this difficult to achieve. In order achieve control, selecting a suitable model structure prerequisite before estimation. This selection based upon an understanding physical systems. paper, black-box chosen as system identification for modeling Intelligent Pneumatic Actuator (IPA) and variety parametric struct...

This study conducted a time series analysis of the Dow Jones Industrial Average’s response to Russia Ukraine conflict through change in crude oil continuous contract price. The relevant data was derived from 1st November 2021 29th April 2022. inputs were employed vector autoregressive model (VAR), moving average models (ARMAX), and ARMA-GARCH quantitatively characterize dynamic relationship bet...

OBJECTIVE Our study investigates different models to forecast the total number of next-day discharges from an open ward having no real-time clinical data. METHODS We compared 5 popular regression algorithms to model total next-day discharges: (1) autoregressive integrated moving average (ARIMA), (2) the autoregressive moving average with exogenous variables (ARMAX), (3) k-nearest neighbor reg...

In this paper, instead of the usual Gaussian noise assumption, t-distribution noise is assumed. AMaximum Likelihood Estimator using the most recent N measurements is proposed for the Auto-Regressive-Moving-Average with eXogenous input (ARMAX) process with this assumption. The proposed estimator is robust to outliers because the ‘thick tail’ of the t-distribution reduces the effect of large erro...

1. BASIC PROBABILITY THEORY 1.1 Measure-theoretical foundation of probability theory 1.2 Independence 1.3 Borel measurable functions 1.4 Mathematical expectatlon 1.5 Characteristic functions 1.6 Random functions 2. CONVERGENCE 2.1 Heak and strong convergence of random variables 2.2 Convergence of mathematical expectations 2.3 Convergence of distributions 2.4 Central limit theoreras 2.5 Further ...