The fitness verification problem of the forerunners of financial crises based on historical data with the econometric methods is considered. This analysis of the presence of the forerunners, and the events that are highlighted by leading economists as forerunners (predictions) and attributes of crisis an analysis was made on the example of the South Asian financial crisis of 1997-1998, for the group of countries.

Railway network is the large-scale logistics network. Logistics management for the large-scale railway network is a very complicated problem. If the rail system owns by the one owner or it is managed by the single unified operator, then there exists the problem of network design and decomposition into some local subnets or territorial zones. Decomposition needs to be performed for operations optimization. Railway territorial zones can be managed and serviced by the separate management centers. This paper examines the decomposition design problem for the large-scale railway network. A network with one input and multiple outputs is considered. Decomposition is performed along the main lines. Optimality criterion for decomposition problem is presented. The problem of optimal points finding for railway network decomposition along each main line is solved analytically for the given criteria.

A semiotic approach in the modeling of complex ill-defined systems, based on the description of the system in syntactic, semantic and pragmatic aspects is considered. The formulation of the decision-making problem in the conditions of structural and parametric uncertainty of the system based on the semiotic approach and the algorithm for its solution are given.

During operation of the induction electric drive, its parameters included in the description of the mathematical model can change significantly. These processes involve heating of squirrel cage windings of the rotor, the saturation of the magnetic circuits of the rotor and the stator, and changes the given moment of inertia. The article considers the problem of tracking for a given angular velocity of the rotor under conditions of the uncertainty of parameters of the mathematical model, describing the behavior of the electric motor, and influence of uncontrolled external disturbances. The using of nonlinear discontinuous control law provides exponential convergence of tracking error to zero.

The article shows a methodology which allows to include some data in econometric study. Based on methods mathematical and nonparametric statistics the author shows how to estimate variables and how to formulate meaningful conclusions.