Sentence examples for stochastic interval from inspiring English sources

The finite-time stochastically boundedness (FTSB) and the finite-time strictly stochastically exponential dissipative (FTSSED) control problems for the stochastic interval systems, which are encountered the time-delay and Markovian switching, are investigated in this paper.

Sufficient condition for exponential stability of the equilibrium solution of uncontrolled stochastic interval system is also presented.

Necessary and sufficient condition under which two-level preconditioner guarantees quadratic mean exponential stability of the desired structure of uncontrolled stochastic interval system is presented.

This paper is concerned with stabilization problem for Itô stochastic interval type-2 (IT2) fuzzy systems with time-varying delays and unmatched premises.

By using Itô's differential formula and the Lyapunov stability theory, sufficient conditions are first derived for ensuring the stability of the stochastic interval delay systems.

This paper is concerned with the examination of conditions under which the desired structure of a stochastic interval system with time dependent parameters is stabilizable.

Other topics related to Brownian bridges on stochastic intervals (which will not be considered in this paper) are concerned with the problem of studying the progressive enlargement of a reference filtration (mathbb {F}) by the filtration (mathbb {F}^{beta }) generated by the information process and further applications to Mathematical Finance.

Morphologically, EGFP-positive beads occurred at stochastic intervals and in varying sizes (1 2.5 μm) along the neurites.

Jing et al. [21] further integrated the uniform distribution with interval judgment to a hybrid stochastic-interval analytic hierarchy process (SIAHP) framework for group decision making on wastewater reuse.

Li and Chen [35] developed a fuzzy-stochastic-interval linear programming (FSILP) approach for supporting municipal solid waste management by tackling uncertainties expressed in normal probability distributions, fuzzy membership functions and discrete intervals.

Xu et al. ([2010]) proposed a stochastic robust interval linear programming model (IPRO) for supporting municipal solid waste management under uncertainty, which couples stochastic robust optimization with interval linear programming to analyze trade-offs among expected costs, cost variability, and risk of violating relax constraints.