We review several (and provide new) results on the theory of moments, sums of squares,
and basic semialgebraic sets when convexity is present. In particular, we show that, under …

Tiltrotor aircraft have three flight modes: helicopter mode, airplane mode, and transition
mode. A tiltrotor has characteristics of highly nonlinear, time-varying flight dynamics and …

Multi-objective optimization problems give rise to a set of trade-off Pareto-optimal solutions.
To evaluate a set-based multi-objective optimization algorithm, such as an evolutionary multi …

Via the Euler forward-difference rule, an Euler-type discrete-time circadian rhythms neural
network model (E-DTCRNN) is proposed, developed, and investigated for motion planning …

A previous study suggested a Karush-Kuhn-Tucker proximity measure (KKTPM) that is able
to identify relative closeness of any point from the theoretical optimum point without actually …

Highlights•Viscoelastic and visco-plastic properties allow for seed interaction and failure.•2D
FEM models and experiments in cylinders with different diameters were …

In order to resist periodic interfere in robot hardware or environment, a Runge–Kutta type
discrete-time circadian rhythms neural network (RK-DCRNN) model is proposed, and …

Many important biological facts have been found as single-cell RNA sequencing (scRNA-
seq) technology has advanced. With the use of this technology, it is now possible to …

Prosumer energy-storage trading (PEST) is conducive to the improvement of the power
system's new energy consumption and reduction of the energy storage investment. To …

ABSTRACT KKT proximity measure (KKTPM) is use as metric for obtained how we are close
to the from a corresponding Pareto-optimal (PO) point without any knowledge about the true …