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A novel internal model control method is proposed for the robust output synchronization of FizHugh Nagumo (FHN) neurons under external electrical stimulation.
This paper proposes a new decoupling control scheme for a 4-DOF PMBAMB in a direct-driven spindle system based on the neural network inverse (NNI) and 2- degree-of-freedom (DOF) internal model control method.
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PID controller is tuned using Internal Model Control (IMC) method and Ziegler Nicholas (ZN) method.
By applying the internal model control (IMC) method, the controllers with equivalent models are designed.
The secondary controller is designed using the internal model control (IMC) method.
With a controller designed using a modified model predictive control method, the effectiveness of the proposed approach is successfully illustrated by a numerical example.
In this paper, the Inner Model Control (IMC) method in the position control loop and the Fractional Order Fuzzy Proportional–Integral Derivative (FOPID) control method in the force loop are investigated.
A model following control method is employed for design of the controllers.
(See, for example, [ 2 ] for survey of model predictive control method).
For the control tasks dedicated controllers are designed, both using the nonlinear model predictive control method.
The internal model control (IMC) method is used to design local PI controllers.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com