Introduction. Due to the continuous increase of the main energy sources price (coal, natural gas, oil products), production and application of unconventional hydrocarbon fuels has drawn a lot of attention recently. These gaseous, liquid and solid fuels can have several origins:-Geological (associated petroleum gas, fracking, firedamp etc.).-Renewable resources (pyrolysis products of organic residuals: slow pyrolysis yields gaseous fuels, while fast pyrolysis yields mainly liquid ones; fermentation of organic waste products, biofuel etc.).-Manufacturing waste (blast furnace gas, residual gases during oil processing, fouling gases in garbage etc.). When conventional fuels using, their composition (standardization), and consecutively their burning capacity, are constant. This allows effective fuel combustion and minimization of pollutant production through modal adjustment of the combustion equipment. Such approach is not suitable for unconventional fuels: their composition, and hence burning capacity, vary during the combustion process. The compositions changes randomly at any time point. Burning equipment can provide independent control of fuel and oxidizer (air) supply. In such case, combustion of a fuel with unknown composition using a nearly stoichiometric oxidizer ratio can be achieved as follows. For a given fuel supply rate, air supply is controlled by a maximumtemperature feedback control system. Maximum temperature is achieved by oxidizer excess coefficient close to 1.0. Other methods can be used for optimal combustion of a fuel with unknown composition [1]. Planning of the optimal fuel combustion represents a necessary but not sufficient condition for its efficient use. Combustion products are high-temperature multi-component chemically reactive mixtures. Determination of the equilibrium composition and properties of such mixtures is part of many tasks of high-temperature energy generation. This is done mostly using theory and computation. The lack of knowledge of the fuel composition and combustion products does not allow performing such computations. The composition of an unknown substance or substances mixture, if constant in time, can be determined in different ways: spectroscopy, methods of analytical chemistry, for gas mixtures-using gas analyzers. All these methods share a number of drawbacks: high costs, bulky, large residence times and, hence, delays. This makes them difficult to integrate in an automatic combustion control system. Gas analyzers require a list of gases in the mixture. Application of gas analyzers is additionally complicated by the presence of undesirable components in the secondary energy sources, which leads to additional deterioration and failure of primary equipment. The price of a system grows with the size of this list.

The article focused on the development of information technology for the optimization of control over complex dynamic systems at the stage of their design that should realize possibilities of modeling of linear and nonlinear dynamic systems, the analysis and synthesis of such systems, their optimization on various quality criteria. The purpose of this article is to develop the structure and elements of information technology to optimize the control of complex dynamic systems, including automated control systems. The general structure and functional model of information technology of the analysis and synthesis of control systems includes modeling of dynamic systems in the form of systems of differential equations and transfer functions, integration of systems of differential equations, calculation of system quality criteria, methods for solving various optimization tasks on solutions of optimization problems of dynamic systems is offered.