Sentence examples for model identification approach from inspiring English sources

In this paper, an improved T-S fuzzy model identification approach is proposed.

In this study, a nonlinear dimension reduction based low-order neural model identification approach is proposed for nonlinear distributed parameter processes.

The APOD scheme is designed based on the generalized predictive control (GPC) and model identification approaches.

Two Hammerstein model identification approaches are implemented and integrated into an efficient tool: Prediction Error Minimization (PEM) as well as a closed-form method involving a Least-Squares and a Singular Value Decomposition part.

Consequently, in the paper a fuzzy modeling identification approach is applied for modeling the power flow management process.

The aim of this study is to present the CIP model parameters identification approach based on the information captured by time series of the COP signal.

This paper develops an on-line model parameter identification approach for multivariable systems, which are nonlinear in terms of state representation and/or in terms of parameters.

Therefore, a self-organizing map (SOM) based multi-model system identification approach is used to get multiple local linear models.

It is argued that the traditional modeling and identification approach is not appropriate for the highly complex systems that we deal with nowadays in environmental science and economics.

This paper proposes a fuzzy modelling and identification approach oriented to the design of a PI fuzzy controller for regulating both the pitch angle and the reference torque of a wind turbine model.

This paper proposes a fuzzy modelling and identification approach oriented to the design of a fault tolerant fuzzy controller for regulating both the pitch angle and the reference torque of a wind turbine benchmark.