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A nonlinear Lyapunov-based output feedback controller is designed to operate in the presence of plant parameter uncertainty and proven to regulate pitch, yaw, and depth tracking errors to zero.
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Simple intermittent feedback controller and impulsive feedback controller are designed to achieve finite-time synchronization between the drive network and response network.
Four controllers have been designed to operate the balancing mechanisms according to the system needs.
The linear feedback controller is designed according to Quantitative Feedback Theory (QFT), to achieve certain performance in response to changing operating points.
The corresponding state feedback controller is designed.
Subsequently, via backstepping method, the output feedback controller is designed.
An output feedback controller is designed for each robot.
The state feedback controller is designed based on trajectory approach.
Finally, a stabilizing feedback controller is designed using H∞-theory.
Feedback controller is designed step by step with CDM.
Next, by incorporating some augmented design parameters, the adaptive output feedback controller is designed.
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