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Then, at each subsystem, a static state feedback controller is designed to robustly stabilize the perturbed nominal dynamics of the subsystem.
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Applied the linear matrix inequality (LMI) approach, an observer-based feedback controller is designed to make the closed-loop networked system to be robustly exponentially stable in the sense of mean square and the prescribed H∞ disturbance-rejection-attenuation level is also achieved.
The dynamic output feedback controllers are designed to ensure robustly global stability and a smaller prescribed H∞ disturbance attenuation level for the resulting closed-loop systems.
And a feedback controller is designed in the third example.
The corresponding state feedback controller is designed.
Finally, a stabilizing feedback controller is designed using H∞-theory.
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.
Feedback controller is designed step by step with CDM.
In this study, a feedback controller was designed including Model Reference Adaptive Control (MRAC) to address uncertainties and robustly control the stack and the coolant inlet temperature in a proton exchange membrane fuel cell (PEMFC).
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