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Journals and Conferences
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)
The paper deals with the basic principles of modeling of large production fuzzy systems with the properties of uncertainty. The problem of identification of fuzzy system as a problem of preselection of fuzzy model expressed by production rules and providing the at least some non-negative functional deviations of the current and the calculated output has… (More)
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.
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.
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)
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)
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)
In this article we propose an adaptive PID controller with minimization of the number of changes in its output signal (PIDam controller). Adaptation process in PIDam controller occurs in a mode of natural functioning of a control system, i.e. without breaking of regulation contour. There are results of simulation of control system with this regulator. This… (More)