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Besides, the uncertain equation-based convection coefficients used in ANSYS and TRC for the thermal analysis of the COP module were closely examined and discussed in detail by comparing with those from CFdesign analysis.
Uncertain differential equation is a type of differential equation driven by canonical Liu process.
Uncertain differential equation is a type of differential equation driven by Liu process and has been widely applied to many fields especially to uncertain finance.
How to obtain the analytic solution of uncertain differential equation has always been a thorny problem.
Each local subsystem of network is described by a linear time-varying parametrically and functionally uncertain differential equation.
In order to solve uncertain differential equation, early researchers have proposed two numerical algorithms based on Euler method and Runge Kutta method.
Furthermore, this paper gives how to calculate the expected value, the inverse uncertainty distributions of the extreme value and the integral of the solution of uncertain differential equation with the aid of Adams Simpson method.
The tuning bilinear method together with interval arithmetic operation is employed to obtain the approximate discrete-time model and the digital robust control law from the continuous-time uncertain state equation and the given continuous-time robust control law, respectively.
Unfortunately, the analytic solutions of uncertain differential equations cannot always be obtained.
This paper designs a new numerical algorithm for solving uncertain differential equations via Milne method.
This paper will design another numerical algorithm for solving uncertain differential equations via Adams Simpson method.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com