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Model-reference tuning of the backstepping controller is employed to achieve the desired responses for all flight conditions.
A modified extremum seeking control algorithm is proposed to minimize energy usage in the lighting system, while a backstepping controller is employed to maintain a desired light level.
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A droop controller is employed to produce the current order for the controller.
A polarization controller is employed for mode-locking optimization.
An inverse model of the stimulated muscle and a PD controller are employed and serve as the feedforward controller and the feedback controller, respectively.
A Peltier cooling controller was employed to cool a sample rack able to hold simultaneously two barcode-labeled sample plates.
A comprehensive approach combining adaptive backstepping output feedback with prediction-based boundary control is employed in the design.
Therefore, decentralized PI controllers are employed.
Since the optimal control law provided by the Minimum Principle is open loop, a backstepping controller is designed to provide a stabilizing feedback law based on the optimal control inputs.
A robust integral backstepping controller is designed in this paper in order to control a new structure of twin wind turbines.
Then the recursive backstepping controller is designed by Lyapunov technique to realize the displacement control of EHS.
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