


Vol 78, No 9 (2017)
- Year: 2017
- Articles: 14
- URL: https://ogarev-online.ru/0005-1179/issue/view/9008
Linear Systems
Quadratic stabilization of bilinear systems: Linear dynamical output feedback
Abstract
We consider stabilization of bilinear control systems by means of linear output dynamical controllers. Using the linear matrix inequality technique, quadratic Lyapunov functions, and a special iterative method, we propose a regular approach to the construction of the stabilizability ellipsoid having the property that the trajectories of the system emanating from the points of this ellipsoid asymptotically tend to zero. The developed approach enables for an efficient construction of nonconvex inner approximations of domains of stabilizability of bilinear control systems.



Nonlinear Systems
Compensating for a multisinusoidal disturbance based on Youla–Kucera parametrization
Abstract
We consider the problem of compensation for a multisinusoidal disturbance for a linear stationary system with a given nominal control law. We consider the general structure of a controller that lets one use arbitrary algorithms for identification of disturbance parameters satisfying certain assumptions. The proposed structure is based on the Youla–Kucera parametrization and lets one compensate for a disturbance while preserving nominal behavior of a control system with respect to the reference.



Design of nonlinear robust diagnostic observers
Abstract
Consideration was given to construction of the robust linear and nonlinear diagnostic observers. A method was proposed to construct nonlinear diagnostic observers insensitive or minimally sensitive to disturbances. The distinction of this method lies in that in some cases it is possible to do without enumeration of the solution variants characteristic of other methods. The method was realized using the logic-dynamic approach.



Control in Technical Systems
Optimizing placement of the control points at synthesis of the heating process control
Abstract
Consideration was given to the problem of optimizing the locations of the control points over the object state within the framework of the optimal feedback control problems of the distributed parameter objects. For certainty, considered was heating of a rod in furnace where the temperature of controlled vs. the temperature measured at certain points of the rod. The problem is reduced to that of parametric optimal control of an initial-boundary value problem where unknown current values of temperature at the measurement points occur at the right side of its equation and the boundary conditions. Formulas were derived for the components of the objective functional gradient with respect to the coordinates of the control point locations and the parameters of the measurement-dependent current control. The results of the carried out numerical experiments were given.



An analytic approach to constructing configurations of technical systems
Abstract
We consider a formalized problem setting for designing possible configurations of a technical system with redundant components and its analytic solution. As the quality criterion for a specific configuration we use the constancy of a given set of functions fulfilled by the system. We formulate the problem of redundancy as finding possible values of the “integration” matrix in an equipment platform that relates input and output interfaces that would ensure the constancy of a collection of the system’s transition matrices intended to evaluate its quality. We obtain a full set of solutions and a version of a solution of the formulated problem which is easier to implement. We give an illustrative example of a real life application.



Diagnosis of multiprocessor systems under failure of more than half processors
Abstract
The possibility of diagnosis of the multiprocessor systems under multiple, up to n−2, failed processors within the framework of the Preparata–Metze–Chien model and method was analyzed. The complete system diagnosis, that is, determination of the good–failed state of all processors, is sometimes possible using the proposed method of analysis of the system diagnostic graph. More precisely, the conditions were determined for impossibility of system diagnosis.



Control in Social Economic Systems
Collective behavior in the Stackelberg model under incomplete information
Abstract
We present the Stackelberg model with linear demand and cost functions for the agents where the leader agent and follower agents have imprecise initial information regarding the marginal costs of competitors. Agents dynamically refine their perceptions and actions based on observing the actions other agents. We obtain necessary and sufficient conditions of the event that the dynamic converges to a Stackelberg equilibrium with true values of marginal costs. We also clarify the situations when agents cannot come to an equilibrium.



Game-theoretic models of an oligopoly market with nonlinear agent cost functions
Abstract
We construct oligopoly models for nonlinear cost functions of agents under reflexive information. We obtain conditions for Nash equilibria under symmetric and asymmetric agent information in Cournot and Stackelberg reaction models (in case of one or several leaders).



Optimization, System Analysis, and Operations Research
Optimal placement of rectangles on a plane with fixed objects
Abstract
Consider a region on a plane with a set of points with positive weights and rectangles that have to be place in that region without intersections. Either the maximal sum of weights of the points in rectangles or the total sum must be minimal. We consider the case of two rectangles. The original continuous problem is reduced to a discrete one by introducing equivalence classes. We propose polynomial combinatorial algorithms for solving the problem. We conduct a computational experiment to compare the efficiency of developed algorithms with the IBM ILOG CPLEX suite with an integer programming model.



Using weighted least squares to approximate the discriminant function with a cylindrical surface in classification problems
Abstract
We show a method for approximating a discriminant function with a cylindrical surface in classification and image recognition problems by sequential approximations to the zero of the discriminant function (cylinder’s directrix) with weighted least squares. This approach improves the efficiency of decision rules. We show characteristic examples.



Large Scale Systems Control
Small-diameter system area network composed of small-port routers
Abstract
This paper considers the design issues of large system area networks of small diameter based on routers with small port count. We suggest a basic structure of a 2D–4D generalized hypercube with sparse dimensions that are implemented as a non-blocking multiring of unit diameter. All designs employ Angara series routers developed in Russia.



Mathematical Game Theory and Applications
On an approach to constructing a characteristic function in cooperative differential games
Abstract
We propose a novel approach to constructing characteristic functions in cooperative differential games. A characteristic function of a coalition S is computed in two stages: first, optimal control strategies maximizing the total payoff of the players are found, and next, these strategies are used by the players from the coalition S, while the other players, those from NS, use strategies minimizing the total payoff of the players from S. The characteristic function obtained in this way is superadditive. In addition, it possesses a number of other useful properties. As an example, we compute values of a characteristic function for a specific differential game of pollution control.



On a game with perfect information and time-claiming alternatives
Abstract
This paper considers a new model of multistage games with perfect information in which players can control decision-making time. At each stage of the game, players choose a certain alternative from a finite set of basic alternatives and also time necessary to realize this basic alternative. The payoffs of players depend on the game path defined by the chosen alternatives and also on the time to realize this path at each stage. We use the subgame-perfect ε-Nash equilibrium as the optimality principle of the model. This paper is a continuation of the earlier research [5].



Two-node market under imperfect competition
Abstract
In this paper, we consider a Cournot auction with uniform nodal prices for a two-node market. The structure of each local market is an oligopoly. We demonstrate how the type of Nash equilibrium depends on the throughput. Finally, we investigate the optimum throughput problem under an imperfect competition in the market.


