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stricter sampling and gain constraints, and of increased digital complexity.
Then a suboptimal control aiming at minimum cost performance with gain constraints is advanced.
This paper addresses the general problem of optimal linear control design subject to convex gain constraints.
In our method, both harmonicity and single-nonzero gain constraints are enforced in a deterministic manner.
The benefits of this approach are balanced by the risk of jamming from in-band interference, of stricter sampling and gain constraints, and of increased digital complexity.
The classical approaches based exclusively on Riccati equations or linear matrix inequalities (LMIs) are unable to treat problems that incorporate feedback gain constraints, as for instance, reduced order (including static) output feedback control design.
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Therefore, white noise gain constraint is used to improve the robustness of the supergain beamformer against random errors.
It is shown that the problem in question can be reduced to a stabilization problem, with a supplementary "gain constraint", for a suitably defined reduced auxiliary plant.
For a stabilization problem, a set of controller gains is calculated numerically via convex optimization by minimizing the magnitude of controller gains satisfying the induced L2 gain constraint with consideration of measurement noise.
The minimum gain constraint stipulated by the Large Gain Theorem guarantees the open-loop transfer function encircles the point (-1,0) exactly P times in the counterclockwise direction, where P is the number of open-loop open right-half plane poles.
Therefore, according to various rolling data measured during really operating, identification method based on extended least-squares method which estimates the parameters of ARMAX model under condition of the specified steady state gain constraint of the controlled system was tried.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com