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A dynamic state and output feedback is constructed to achieve synchronization of the rest of the states.
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A Boolean network, comprising protein signalling pathway, gene expression dynamics and autocrine feedback was constructed based on our previous gene regulatory model for keratinocyte migration (Busch et al., 2008).
For delays satisfying these upper bounds, linear low-gain state and finite dimensional dynamic measurement feedbacks are constructed to solve the semi-global stabilization problem.
In the case of partial state measurements, dynamic output feedback controllers for subsystems are designed, and a switching law depending only on the state of the output feedback controllers is constructed to guarantee strict passivity of the closed-loop switched system.
It is shown that the state feedback regulator achieving asymptotic suppression of matched disturbances can be designed in two stages: in the former a state feedback stabilizer is constructed and in the latter the internal model unit is built, i.e. a sort of separation result holds.
By applying the backstepping design techniques, a fuzzy adaptive output feedback control is constructed recursively.
The feedback law is constructed by the convex hull Lyapunov function.
Combining with the backstepping design techniques, a fuzzy adaptive output feedback control is constructed recursively.
Based on the virtual controller, a memoryless state feedback controller is constructed for the second subsystem.
The output feedback controller is constructed which ensures the closed-loop systems asymptotically stable.
Under the framework of the backstepping design, fuzzy adaptive output feedback control is constructed recursively.
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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.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com