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In the MD simulation, 42 sets of systems with different H2O densities were generated.
But the global exponential attractive sets of systems (2 -(4) are still unknown.
By establishing a difference inequality, we obtain the attracting and quasi-invariant sets of systems under consideration.
By establishing new impulsive-integral inequalities, we obtain the attracting and quasi-invariant sets of systems under consideration.
Then, for a more specific class of control objectives, attention is paid to the case of polyhedral sets of systems.
In this paper the issue of strong robustness of sets of systems is introduced and motivated in a scenario of adaptive control.
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We start out by giving a preliminary result on the equilibrium curves (sets) of system (1).
Numerical methods are employed to find the optimal local sensor level threshold for different sets of system parameters.
end{aligned} Then the reachable sets of system (1) are bounded by a ball (B 0,r)={ zin R^{n}||z|leq r}) with r=frac{1}{sqrt{lambda_{min}(P }}.
end{aligned} Then the reachable sets of system (2) are bounded in a ball (B 0,r)={zin R^{n}|Vert zVert leq r}) with r=frac{1}{sqrt{lambda_{min}(P }}.
The arrival of a set of systems that prioritise collaboration is most certainly a welcome one.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com