The paper proposes the statements of a system development control problems under the influence of external environment using the SWOT-analysis on the cognitive model of the situation and the general scheme for their solution. The scheme of strategic monitoring of the system development with inclusion of these problems is presented. The example of development problem solution for the enterprise with environmentally dangerous production is given.

We propose a new method for the small-signal stability analysis of power systems based on the spectral decomposition of a square H2 norm of the transfer function. Compared with the dynamics of H2 and H-infinity norms of the transfer functions, the analysis of the behavior of individual eigen-components allows the earlier identication of the pre-fault condition occurrence. Since each eigen-component is associated with a particular eigenvector, the potential sources of instability can easily be localized and tracked in real time. An important class of systems operating under the pre-fault conditions near the boundary of stability is considered. We demonstrate that in such cases several ill-stable modes can increase the system energy up to a critical level much earlier due to their synergetic effect. In particular, an ill-stable lowfrequency mode can act as a catalyst increasing the energy in the system. An illustrative test for the stability analysis of a real small power grid at Russky Island is provided.

A new approach to the controllability and observability properties, based on controllability and observability matrices links, is considered. The approach is based on matrices A, Am integrals expansion Lemma and properties of the matrices function convolution in complex plane. Coefficients of characteristic equations and Faddeev's matrices in the resolvent expansion of the system dynamic matrix play a dominant role in matrices integrals expansion forming. The gramians expansion on dynamic system matrix spectrum provide a new notion for the solutions of the Lyapunov and Sylvester equations. The results are illustrated by the example for two-zones furnace control.

A minmax problem statement of a problem of the parameter identification of the input/output mapping of systems is considered, based on the entropy (in the Shannon sense) of the identification error. Using the entropy based approach, a Gauss closeness measure is proposed, that simultaneously may serve as a simple test for the normality for any continuous probability distribution, suitable for applications within depended observations. A case study is considered, with confirming the full practical suitability of the theoretical considerations of the paper.

Single track segments are common in various railway networks, in particular in various supply chains. For such a segment, connecting two stations, the trains form two groups, depending on what station is the initial station for the journey between these two stations. Within a group the trains differ by their cost functions. It is assumed that the single track is sufficiently long so several trains can travel in the same direction simultaneously. The paper presents polynomial-time algorithms for different versions of this two-station train scheduling problem with a single railway track. The considered models differ from each other by their objective functions.