Sentence examples for more general stochastic from inspiring English sources

Furthermore, the above-mentioned results are extended to more general stochastic high-order nonlinear systems.

We also present empirical results on a variety of more general stochastic games, in situations of self-play and otherwise, demonstrating the wide applicability of this method.

Emphasis is also placed on the development of a global simulation framework that aims at embedding the wave simulator into a more general stochastic environment.

Based on the structural characteristics of radial basis function (RBF) neural networks (NNs), a backstepping design approach is extended from stochastic strict-feedback systems to a class of more general stochastic nonlinear systems.

These methods have been recently applied at the level of networks and to more general stochastic processes [14 25].

When (m=n=0), system (SM) becomes (1.4), so system (SM) is a more general stochastic system.

Therefore, we generalize by the integral inequality the results to cover a class of more general impulsive stochastic neutral partial differential equations with memory.

The results obtained here generalize the main results from [3, 6, 17] to cover a class of more general impulsive stochastic neutral systems.

Prakasa Rao [8, 9] studied parametric estimation for more general classes of stochastic processes satisfying the linear stochastic differential equations driven by fractional Brownian motion, observed over a fixed period of time T.

A more general class of stochastic nonlinear systems with irreducible homogenous Markovian switching are considered in this paper.

A more general class of stochastic nonlinear systems with unmodeled dynamics and uncertain nonlinear functions are considered in this paper.