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- I. S. Durgaryan, G. Pikina, F. F. Pashchenko, A. F. Pashchenko
- 2013 IEEE 8th Conference on Industrial…
- 2013

The problem of construction of forecasting “input-output” models of linear and non-linear systems with random signals is considered. A consistent method of identifying such systems under the criterion of maximum of the mount of information is developed. An informational estimation is obtained of the identity of the model with the object being… (More)

- A. F. Pashchenko, F. F. Pashchenko
- 2012 7th IEEE Conference on Industrial…
- 2012

The method of identification based on a method of functional transformations and ideas statistical linearization is offered. The offered method represents nonlinear analogue of a method of statistical linearization.

- Y. I. Kudinov, A. Y. Kelina, A. F. Pashchenko, F. F. Pashchenko
- 2014 IEEE 8th International Conference on…
- 2014

Classical linear controllers often do not provide required quality of control of real, mostly nonlinear industrial facilities. Under these conditions, high efficiency show fuzzy PID controllers and their modifications, which, by appropriate choice of parameters, can become nonlinear and better suited for the control of nonlinear industrial facilities. In… (More)

- F. F. Pashchenko, A. F. Pashchenko, I. S. Durgaryan, Y. I. Kudinov, A. Y. Kelina, Le Van Dinh
- 2015 IEEE 10th Conference on Industrial…
- 2015

In this paper we solve the problem of modeling the production systems basing on neuro-fuzzy models and tools of MATLAB. The problems of identifying and constructing a model for the prediction of energy consumption are observed with the use of MATLAB tools.

- G. Pikina, F. F. Pashchenko, A. F. Pashchenko
- 2013 IEEE 8th Conference on Industrial…
- 2013

The paper addresses ways to design typical predictive control algorithms and analyzes and compares the proposed algorithms with traditional ones. Replacement of standard algorithms for control of variables in power engineering plants by predictive algorithms is found to considerably improve the control performance and put microprocessors to more efficient… (More)

- G. Pikina, Le Van Dinh, A. F. Pashchenko, F. F. Pashchenko
- 2015 IEEE 10th Conference on Industrial…
- 2015

The dynamic models with temperature reactivity coefficient for reactor type WWER are developed here. Unlike conventional engineering models with concentrated parameters and one group of delayed neutrons, in the work takes into account: the fluid and heat flow parameters distribution of the active zone height, six groups of delayed neutrons, the impact on… (More)

- Y. I. Kudinov, I. Y. Kudinov, A. F. Pashchenko, F. F. Pashchenko, I. S. Durgaryan
- 2015 9th International Conference on Application…
- 2015

The problem of controlling the annealing temperature of transformer steel into bell-type electric furnaces observed. In order to stabilize the temperature the use of an adaptive fuzzy controller is proposed, which includes a multi-position (MPC) and a pulse-width (PWC) controllers. The principles of the rules' formation for controllers suggested. The… (More)

- Sergey Gulyaev, F. F. Pashchenko, A. F. Pashchenko
- 2015 9th International Conference on Application…
- 2015

This paper considers the work of an adaptive control system of gas wells cluster. The considered control system solves the problem of maximizing of the gas pressure in the manifold with existing restrictions on the flow rate of gas wells.

- F. F. Pashchenko, A. F. Pashchenko, Nikita A Kuznetsov, I. K. Minashina, E. M. Zakharova
- ANT/SEIT
- 2017

- F. F. Pashchenko, A. F. Pashchenko
- 2012 7th IEEE Conference on Industrial…
- 2012

The problems of constructing of decision support systems for operational staff in the management of hi risk productions are observed. The basic requirements and functionality of systems are described. The proposed decision-making systems are using adaptive algorithms of modeling and synthesis of management decisions. The problems of control with the use of… (More)