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This paper proposes a super-twisting sliding mode observer structure for the multivariable case when many interdependent measurements are available.
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In this paper the problem of the asymptotic tracking and stabilization with infinite gain margin, is addressed for linear time-invariant discrete-time multivariable systems in the case when unknown different scalar gains act on the outputs.
(Or in this case, when it is).
Application to the multivariable case is presented.
A generic design methodology is proposed in the multivariable case.
In this paper we extend the results to the multivariable case of higher multiplicity.
We present a Newton-based extremum seeking algorithm for the multivariable case.
An analytic expression of a lower bound of this deviation guaranteeing stability in the monovariable and multivariable case are obtained.
In this paper, we extend the analysis and the synthesis of stable fuzzy control system to the multivariable case.
ANCOVA was used for multivariable adjustment when comparing groups.
In this large nested case control study of 579 CRC cases and 1996 matched controls, alcohol intake within the observed range was not associated with a significantly increased CRC risk after multivariable adjustment when compared with alcohol intake of >0 <5 g per day.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com