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A head-mounted ANC system based on an adaptive feedback structure can reduce noise with periodicity or narrowband components.
In order to achieve a self-stabilizing performance in delay QoS guarantees, he has implemented an adaptive feedback control mechanism.
For example, in [22], an adaptive feedback controller is designed to achieve complete synchronization for unidirectionally coupled delayed neural networks with stochastic perturbation.
The control function (u_{i}(t)) is a hybrid control, (v_{i}(t)) is an open loop control, and (w_{i}(t)) is an adaptive feedback control.
Based on an adaptive feedback controller, projective lag synchronization of the general complex dynamical networks was proposed with non-delay coupling and different nodes [25].
To achieve system linearization and decoupling, an adaptive feedback linearization strategy is proposed, which could asymptotically eliminate the linearization error caused by the model uncertainties.
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In fact, the control scheme (16) is also a hybrid control, (v_{1}(t)) is an open-loop control, and (w_{1}(t)) is a adaptive feedback control.
We also propose an adaptive, feedback-based, precision selection scheme that needs virtually no overhead.
We describe an analytical model of the system under consideration and present two mathematical approaches to derive solutions for any system configuration and deployment, along with an adaptive feedback-based solution.
In this paper, we design an adaptive-feedback controller to synchronize a class of noise-perturbed two bi-directionally coupled chaotic systems with time-delay and unknown parametric mismatch.
The control system is then presented: a digital adaptive feedback control is performed independently cell by cell, allowing an easy subsequent increase of the liner surface.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

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