The work covers the neuronic networks (synergetical model, its abilities to structural identification of technological processes). The aim is to study the neuronic networks as a base for the structural identifiers in adaptive control systems. The analysis of exsistence and stability for stationary solutions in the neuronics network has been performed firstrly. The conditions determining the phase space structure have been revealed. The new model of the pattern classification has been proposed, the methods for structural identification of the technological processes on base of the neuronic networks have been proposed. The subsystem for structural identification of the technological processes has been constructed. The facilities permitting to...
The problem of structural-parametrical identification of a control system is considered. For the sol...
Generally, control techniques based on multilayer neural networks are used especially in the case of...
There the purpose is to study the opportunities of non-linear neural networks for solution of such p...
The actual problems on the creation and use of the neuronic-network expert systems are considered. F...
Subject of investigation: artificial neuron networks, chemical-technological processes and chemical-...
The modern stage of development of science and technology is characterized by a rapid increase in th...
The work covers the properties of the automatic control systems with neuro-network regulators. The d...
This paper gives a variety of theoretical results associated with the Adaptive Neural Control (ANC) ...
In the presented article analytical methods of the solution of a task synthesis in a control system ...
In this paper authors present the results of a research that had a purpose to develop a method of co...
In the article the method of accuracy increasing of manufacturing details on the technological equip...
New adaptive and neural strategies for the identification and the control of complex, non-linear and...
The purpose of the work: the development of the movement control and navigation system on the base o...
Abstract:- The paper deals with on-line system identification for adaptive controller construction. ...
ABSTRACT: Two important computational features of neural networks are (1) associa-tive storage and r...
The problem of structural-parametrical identification of a control system is considered. For the sol...
Generally, control techniques based on multilayer neural networks are used especially in the case of...
There the purpose is to study the opportunities of non-linear neural networks for solution of such p...
The actual problems on the creation and use of the neuronic-network expert systems are considered. F...
Subject of investigation: artificial neuron networks, chemical-technological processes and chemical-...
The modern stage of development of science and technology is characterized by a rapid increase in th...
The work covers the properties of the automatic control systems with neuro-network regulators. The d...
This paper gives a variety of theoretical results associated with the Adaptive Neural Control (ANC) ...
In the presented article analytical methods of the solution of a task synthesis in a control system ...
In this paper authors present the results of a research that had a purpose to develop a method of co...
In the article the method of accuracy increasing of manufacturing details on the technological equip...
New adaptive and neural strategies for the identification and the control of complex, non-linear and...
The purpose of the work: the development of the movement control and navigation system on the base o...
Abstract:- The paper deals with on-line system identification for adaptive controller construction. ...
ABSTRACT: Two important computational features of neural networks are (1) associa-tive storage and r...
The problem of structural-parametrical identification of a control system is considered. For the sol...
Generally, control techniques based on multilayer neural networks are used especially in the case of...
There the purpose is to study the opportunities of non-linear neural networks for solution of such p...