A. I. Diveev

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The problem of multiobjective synthesis of optimal control is considered. It is necessary to find the control as a function of problem space coordinates. Initial values of the control object are in closed bounded domain. Functionals of control quality include multiple integrals over domain of initial values. To solve the problem of multiobjective synthesis(More)
A problem of identification control synthesis is considered. This problem arises when it is necessary to perform a control system synthesis for an object which mathematical model is unknown. To solve the identification control synthesis problem, we use a numerical method of the network operator. The method allows finding both the structure and the(More)
An identification control is a control of an object which mathematical model is unknown. For such objects initially the problem of identification is solved, and then for the resulting object model the problem of control synthesis is solved. As a result of control synthesis we obtain a multi-dimensional function that describes the dependence of control on(More)
Problem of synthesis for robust control system is considered. The synthesized system should be indifferent to uncertainty of mathematical model. To solve the problem a numerical method of network operator has used. The uncertainty of model is replaced by a set of models with certain values. The quality functional is replaced by a sum of values of functional(More)
A synthesis of optimal control for a group of robots is considered. Suppose every robot of group has full information about other robots. A two-stage numerical approach for optimal control synthesis is applied. Firstly, the task of stability in a state space for one robot is decided. For this purpose multilayer network operator is used. Secondly, a problem(More)
We are addressing the problem of designing an autonomous feedback control for a group of robots moving in the environment with obstacles and avoiding collisions. A robotic team with full information is considered. We propose a two-stage numerical approach for control synthesis. On the first stage a stabilizing control about some point in the state space is(More)
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