System and method for stochastic simulation of nonlinear dynamic systems with a high degree of freedom for soft computing applications

作者: Sergei Ulyanov , Sergei Panfilov

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摘要: A system and method for efficient stochastic simulation of dynamic systems is described. Since analytic solutions cannot usually be found differential equations, complete analysis requires numerical simulations. These simulations are most commonly done with first-order Euler-type algorithm. The efficiency these algorithms improved by removing algebraic loops in the simulation. An loop occurs when an output variable equations also input to one or more describing system. In embodiment, removed formulating a wherein that gives rise integrated produce output. later provided differentiator reconstruct as needed.