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The proposed system is based on a state feedback dynamic controller.
We also give a model predictive control formulation, which leads to a robust control system based on a state feedback mechanism.
Several non-adaptive and adaptive compensation designs are analyzed, based on a state feedback output tracking model reference adaptive control scheme.
The output feedback CNF control law is constructed based on a state feedback CNF control law for the tracking control problem and a state observer.
Concretely, the research in [17] exhaustively analyses the equilibrium points of an SEIR epidemic model under a vaccination strategy based on a state feedback control law with respect to the model parameters and/or the controller gains.
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Attention is focused on the design of a state feedback controller such that, the closed-loop system is exponentially stable with a guaranteed weighted L2gainn.
The theory is illustrated by means of a simple example consisting on the design of a state feedback switched control for a triple integrator.
Attention is focused on the design of a state feedback controller and a dynamic output feedback controller which guarantees the passivity of the closed-loop system for all admissible uncertainties.
The proposed application-oriented control approach is based on the conception of a state feedback controller that ensures the tracking of a limit cycle characterized in terms of the feedback-linearized system.
Our attention is focused on the design of a state feedback controller such that the closed-loop 2-D stochastic nonlinear system is mean-square asymptotic stability and has an H∞ disturbance attenuation performance.
For the robust H∞ control, attention will be focused on the design of a state feedback controller such that the resulting closed-loop system is robustly stochastically stable with disturbance attenuation level γ>0.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com