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A sampled-data output feedback controller is designed to minimize the intersample variations of the controlled variable.
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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.
Packaging is designed to minimize waste.
Feedback signals are designed to minimize the risk that a participant would miss the outcome and as such the feedback may grasp attention.
By employing results from feedback control theory, the chapter explains how the mesh controller should be designed to minimize the error introduced by the model reduction.
From an information theoretical point of view, a CSI feedback scheme should be designed to minimize this performance metric.
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.
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