This paper provides a systematic method for model bank selection in multi-linear model
analysis for nonlinear systems by presenting a new algorithm which incorporates a …

This paper proposes a model bank selection method for a large class of nonlinear systems
with wide operating ranges. In particular, nonlinearity measure and H-gap metric are used to …

A new switching mechanism for multiple model adaptive controllers (MMAC) is suggested in
this paper. The proposed method gives superior performance in comparison to the widely …

Extreme nonlinearity and exhibition of severe interaction effects of multivariable pH
processes makes it an appropriate test bed for evaluation of advanced controllers. This …

(MMAC) strategy is used to mitigate the undesired effect of output power fluctuations in
hydraulic wind power systems. This control structure is based on linear Kalman filters …

Inherent nonlinearity of pH processes causes that they are recognized as an appropriate test
bench for evaluation of advanced controllers. Because of special characteristics of them, it is …

A multiple-model adaptive controller is developed using the self-organizing map (SOM)
neural network. The considered controller which we name it as multiple controller via SOM …

Nonlinear behavior and disturbance sensitivity of the pH processes causes them to be
known as an appropriate test bench for advanced controllers. Because of special behavior …

In many competitive business domains, software systems have become vital to achieve the
business objectives efficiently. In such software systems, maintaining performance …

In this paper a multiple model adaptive control (MMAC) strategy is used to mitigate the
undesired effect of output power fluctuations in hydraulic wind power systems. This control …