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Based on the obtained stability criterion, a stabilization controller design approach is also given.
Based on this model, we propose a robust fuzzy estimator-based stabilization controller to stabilize the NSPDSs.
This paper discusses the stabilization controller designs for a class of networked control systems with nonlinear perturbation.
The stabilization controller is designed utilizing a MIMO decoupling technique.
The backstepping technique is then applied to design a global adaptive stabilization controller.
The stabilization controller is tested with images obtained by atomic force microscopes, and the results verify the proposed theory.
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Based on the finite-time Lyapunov stability theorem and dynamic gain control design approach, state feedback finite-time stabilization controllers are proposed with gains being tuned online by two dynamic equations.
Simulations show that the simultaneous stabilization controllers obtained in this paper work very well.
With the aim of proving its effectiveness, two different stabilization controllers (PID and H∞) are presented.
Second, a constructive procedure is proposed to design output feedback stabilization controllers for BCNs.
The parametric Lyapunov equation based approach is utilized to design stabilization controllers for these three classes of systems.
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