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The output feedback controller is designed to depend on the current S C delay and the previous C A delay.
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A simple intermittent adjustment feedback controller is designed to control the states of two systems to achieve anti-synchronization within a finite time.
For example, in [22], an adaptive feedback controller is designed to achieve complete synchronization for unidirectionally coupled delayed neural networks with stochastic perturbation.
A simple intermittent adjustment feedback controller is designed to ensure the drive-response systems realize anti-synchronization in a finite time.
Simple intermittent feedback controller and impulsive feedback controller are designed to achieve finite-time synchronization between the drive network and response network.
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.
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