The paper deals with block design of control system of gripper position of a manipulator under conditions of uncertainty of load mass and incomplete measurements. Restrictions on the state variables of the electromechanical system in the controlt process are provided by use of S-shaped smooth sigma-functions in local feedbacks and corrective actions of the states observer.

The coalitional manipulability of voting rules for special case of coalition formation is studied by computer experiment. For the considered case, the coalition, upon manipulation, consists of agents with the same alternative on the first place in their orderings. Not necessary all agents of the manipulating coalition should report insincere preferences, i.e. manipulating agents can join others by adjusting the preferences. This makes the coalition formation more flexible, inducing the increase of the Nitzan-Kelly manipulability index by different value for different voting rules. Calculations are made for 3 alternatives for knows aggregation procedures.

Consideration was given to the problems of selecting equipment for oil product mixing systems. To solve them, optimization models allowing one not only to select the equipment for the projected system in compliance with the given criteria, but also to schedule mixing of the oil products with the aim of verifying its operability were proposed. Computational experiments corroborated sufficiently high efficiency of the proposed models.

The subject of investigations is the equipment operational model, where the operational expenses are represented by planned replacement expenses and losses due to failures. The two replacement strategies are considered: “planned replacement at the end of predetermined life time or after a failure” and “planned replacement at the end of predetermined life time.” In the second case only working capacity is restored after failure. The optimal lifetime value is shown to depend on the ratio of planned replacement expenses and losses due to failure. The rated conditions for the optimal equipment lifetime and for the gamma-percentile life are obtained providing the distribution of time to failure is determined by the Weibull law. The expediency of the equipment group replacement is discussed.

We consider approaches to modeling reliability and technical efficiency of complex systems. We give a brief classification of models and approaches to system reliability analysis. We discuss decomposition and aggregation methods for static and dynamic models. As an example, we briefly characterize gas supply systems.