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Furthermore, the state feedback controller is designed to solve the finite-time stabilization problem.
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A modal controller in conjunction with modal state estimator is designed to solve the problem of full state feedback, making it much more feasible to real-time control.
Then, a gain scheduling H2/H∞ state feedback controller is designed by solving linear matrix inequalities, which aims to reduce the loading.
Thirdly, memory state feedback controller is designed via a set of linear matrix inequalities (LMIs) which can be solved by Matlab LMI toolbox.
We show that the synchronization problem can be solved as an optimization problem subject to a set of Linear Matrix Inequalities (LMI) for which a state feedback controller is designed efficiently.
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.
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