Some Aspects on Nonlinear Black - Box Modeling in System Identi

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...

Orbit - Operating Regime Based Modeling and Identification 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 being smoothly patched together into a global non-linear model. ORBIT is a computer-aided modeling environment that supports interactive development of regime based models on the basis of a mixt...

SECURING INTERPRETABILITY OF FUZZY MODELS FOR MODELING NONLINEAR MIMO SYSTEMS USING A HYBRID OF EVOLUTIONARY ALGORITHMS

In this study, a Multi-Objective Genetic Algorithm (MOGA) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear Multi-input Multi-output (MIMO) systems. In the process of non- linear system identi cation, structure selection, parameter estimation, model performance and model validation are important objectives. Furthermore, se- curing low-level and high-level ...

Nonlinear Black - Box Models in System Identi cation : Mathematical

Multiple steps prediction with nonlinear ARX models, Report no. LiTH-ISY-R-2793

NLARX (NonLinear AutoRegresive with eXogenous inputs) models are frequently used in black-box nonlinear system identi cation. Though it is easy to make one step ahead prediction with such models, multiple steps prediction ids far from trivial. The main di culty is that in general there is no easy way to compute the mathemaical expectation of an output conditioned by past measurements. An optima...