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The main result provided is a sufficient condition for the design of a dynamic output feedback controller which makes the closed loop system finite-time stable.
The controller pushes the reactor poles in higher Riemann sheets and thus makes the closed loop system hyper-damped which ensures safer reactor operation at varying dc-gain while making the power tracking temporal response slightly sluggish; but ensuring greater safety margin.
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Stochastic control design chooses the controller that makes the closed-loop behavior as close as possible to the desired one.
Optimal action selection chooses the controller design that makes the closed-loop behavior as close as possible to the desired one.
This makes the closed-loop control system a stochastic switching system.
This paper considers the problem of robust eigenstructure assignment, which involves finding a feedback gain matrix that makes the closed-loop system insensitive to perturbations or parameter variations.
Moreover, a state feedback stabilizing controller which makes the closed-loop system exponentially stable with a prescribed lower bound of decay rate is designed.
Based on a Lyapunov functional method, a state feedback H∞ control law is developed which makes the closed-loop system asymptotically stable with guaranteed H∞ performance.
It is shown that the proposed MPC makes the closed-loop system globally asymptotically stable in the presence of input constraints.
Then, an active fault-tolerant controller is designed to compensate for the effect of the faults and makes the closed-loop fuzzy delta operator system stable.
The proposed strategy consists in finding the family of fractional controllers (in function of the fractional integrator) that makes the closed-loop system have the same time domain specifications: overshoot and settling time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com