Home / Overview

# Synthesis of intelligent control system

The goal of the research is a development of methods for synthesis of an intelligent control system.
At this stage mathematical statement of a problem of synthesis for an intelligent control system is defined. The problem of synthesis by an intelligent control system consists in simultaneous search of several multidimensional synthesizing functions from coordinates of space of conditions. One function describes the dependence of continuous control, and the other describes a logic choice of control option depending on a conditions of object and environment.
The method of the logic network operator is developed for representation of functions of multiple-valued logic. The logic network operator describes function of multiple-valued logic, in the form of the direct graph. For the solution of the problem of synthesis it is offered to use the genetic algorithm constructed based on the principle of variations of the basic solution. The genetic algorithm includes a vector of a choice for synthesizing functions.
The developed computing method of the logic network operator is approved on a problem of synthesis for an intelligent control system of transport flows in a network of urban roads.

# Identification

This project is to solve the fundamental problems of research and development of new effective computational methods of structural and parametric identification of automatic control system of complex technical objects.
In 2011 parallel algorithm for structural and parametric identification of automatic control system of complex technical objects on the basis of the network operator and genetic programming was developed and studied. It can speed up the calculations, what is essential in solving large-scale problems.
A new data structure called logical network operator was developed and investigated. It allows to find a logical expression of a given truth table. Logical network operator has the ability to vary the number of input variables.
A numerical method for the identification of intellectual systems described by logical functions was developed.
The developed method was tested on practical examples of identification of the model of intellectual control system of traffic flow in urban road networks and unmanned aerial vehicle.