System Identification and Modeling of Nonlinear System - Jami'in, Mohammad Abu
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This book contains an identification and modeling system for nonlinear systems under quasi-linear ARX neural network (QARXNN) model. This model is very interesting because it has linear characteristics. Using its parameters, it is easy to derive control system law and to analyze its stability. It has linear and nonlinear parameters, so it can be used to select linear or nonlinear control. We give examples to model and control of nonlinear system under numerical examples and their applications on wind energy conversion systems.

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Produktbeschreibung
This book contains an identification and modeling system for nonlinear systems under quasi-linear ARX neural network (QARXNN) model. This model is very interesting because it has linear characteristics. Using its parameters, it is easy to derive control system law and to analyze its stability. It has linear and nonlinear parameters, so it can be used to select linear or nonlinear control. We give examples to model and control of nonlinear system under numerical examples and their applications on wind energy conversion systems.
Autorenporträt
Mohammad Abu Jami'in received the Dr. Eng. in the Graduate School of Information, Production and Systems, Waseda University, Japan 2016. His research interest include artificial intelligence and its application, control system, renewable energy and propulsion systems.