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This approach uses a model based controller design.
Conclusions are drawn from this analysis for further robust nonlinear model based controller design.
The fuel cell system model will be central for a subsequent model based controller design.
An inverse model based controller application is presented in this paper.
For the model based controller design, a reduced order approximate model is obtained from the dynamic simulation of the system.
This paper explores the development of an Internal Model based controller approach for better frequency regulation in a hybrid microgrid.
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As a result, a global ultra-model based controller design only requires knowledge of the system order and of the nonlinear control input gain function.
Being less complex in structure, design and development of U-Model based controller is simple.
The performance of the closed-loop AO system with conventional linear-static-model based controller degrades if the AO system suffers from nonlinearity or the dynamics is significant.
Compared to purely fuzzy model-based controller, the control force for the fuzzy chaos hybrid controller is extremely low.
A quadratic dynamic model-based controller (QDMC) is designed based on this low-order model.
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