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Then, a simple model following controller is further added to preserve the desired control performance as the operating condition and parameter changes occur.
In [12, 13], an output feedback adaptive fuzzy model following controller is proposed for a nonlinear and uncertain airplane model.
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A model following control method is employed for design of the controllers.
The paper deals with properties of a two-loop model following control system (MFC) containing a nominal model of the controlled plant and two PID controllers.
The proposed model following control structure (MFC) may find wide application in new intelligent controllers to robust control of parameter-time varying plants.
A model following robust controller that specifies the required yaw moment and total lateral force is designed through LMI(Linear Matrix Inequality) formulation.
The model reference adaptive system (MRAS -based 2-layer ANN estiMRAS -basedotor resistance on-line and a linear model following position controller is designed by using the estimated rotor resistance value.
This paper presents an indirect field-oriented (EFO) induction motor position servo drives which uses the model following adaptive controller with the artificial neural network (ANN -based rotor resistANN -basedatorotor
For the path following controller design, the model predictive control (MPC) approach is adopted to enforce the rudder actuation constraints.
A nominal characteristic trajectory following controller (NCTF controller) is used for the ultra-precision positioning.
In this paper, the adaptive model following sliding mode controller design method is considered.
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