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In Fig. 9, the effectiveness of regulating the frequency with sliding mode control is compared with conventional PI controller.
To design a suitable controller, the theory of quasi-sliding mode control is modified and applied.
In this paper, the theory of sliding mode control is employed to develop a fuzzy controller for uncertain dynamic time-delayed systems with series nonlinearities.
In the process of control design, the sliding surface of sliding mode control is determined by minimizing the optimal cost function, and the controller is the saturation controller.
Then a sliding mode control is developed.
The adaptive fuzzy sliding mode control is applied to the attitude stabilization of flexible satellite.
Using the reduced order observer, the sliding mode control is designed in output feedback form.
Whereas a continuous sliding mode control is designed to steer the states toward the sliding surface.
We demonstrate that bionic fuzzy sliding mode control is superior to conventional fuzzy sliding mode control.
Sliding mode control is able to achieve a faster response with less control effort.
The fuzzy sliding mode control is introduced to attenuate the fuzzy approximation errors.
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