Orbit - Operating Regime Based Modeling and Identification Toolkit

ORBIT - Operating-Regime-Based Modeling and Identi cation Toolkit

ORBIT is a MATLAB-based toolkit for black-box and grey-box modeling of non-linear dynamic systems. The model representation is based on multiple local models valid in di erent operating regimes, that are smoothly blended into a global non-linear model. ORBIT is a computeraided modeling environment that supports the interactive development of regime-based models on the basis of a mixture of empi...

Operating Regime Based Process Modeling and Identification

Operating regime based process modeling and identification ph.d thesis

Modeling Gasoline Consumption Behaviors in Iran Based on Long Memory and Regime Change

In this study, for the first time, we model gasoline consumption behavior in Iran using the long-term memory model of the autoregressive fractionally integrated moving average and non-linear Markov-Switching regime change model. Initially, the long-term memory feature of the ARFIMA model is investigated using the data from 1927 to 2017. The results indicate that the time series studied has a lo...

Identification of Nonlinear Systems using Gaussian Mixture of Local Models

Identification of operating regime based models of nonlinear dynamic systems is addressed. The operating regimes and the parameters of the local linear models are identified directly and simultaneously based on the Expectation Maximization (EM) identification of Gaussian Mixture Model (GMM). The proposed technique is demonstrated by means of the identification of a neutralization reaction in a ...