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For a class of partially ordered means, we introduce a notion of the (nontrivial) cancelling mean.
The repetitive learning control for a class of partially feedback linearizable systems is considered.
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This paper revisits the existence and construction problems for polygonal designs (a special class of partially balanced incomplete block designs associated with regular polygons).
In this paper, we study the existence of infinitely many solutions for a class of fourth-order partially sublinear elliptic problem with Navier boundary value condition by using an extension of Clark's theorem.
Birkhoff [5] gives as exercises several (mathsf L _t -sentences that follow from properties of general partial orders, and Altwegg [2] later provides an infinite (mathsf L _t -sentencesathat ofollowclass ofromrtially ordered sets under the Birkhoff interproperties
Finally, we introduce the class of partially supersaturated designs, intended for use when we require a specific subset of m1 core factors to be estimable, and the sparsity of effects principle applies to the remaining (m−m1) factors.
These methods cannot be directly applied to generalizing partially ordered partially instantiated plans, a class of plans that have received significant attention in planning.
All except the class of partially stiffened elements under stress gradient has been investigated experimentally, and design equations developed.
In this paper, the problem of continuous gain-scheduled fault detection (FD) is studied for a class of stochastic nonlinear systems which possesses partially known jump rates.
In this manuscript, we give a common method to deal with the existence of a coupled fixed point and the coincidence point for a class of mixed monotone mappings in a partially ordered complete metric space.
This paper studies the problem of continuous gain-scheduled PI tracking control on a class of stochastic nonlinear systems subject to partially known jump probabilities and time-varying delays.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com