350 rub
Journal Neurocomputers №7 for 2016 г.
Article in number:
Software package for modelling, analysis and synthesis of neural network control systems
Authors:
V.L. Eliseev - Ph.D. (Eng.), Associate Professor, Department of Management and Informatics, National Research University «Moscow Power Engineering Institute». E-mail: vlad-eliseev@mail.ru K.I. Sviridenkov - Ph.D. (Eng.), Associate Professor, Department of Computer Engineering, Branch of Na-tional Research University «Moscow Power Engineering Institute» in Smolensk. E-mail: sv-k-i@mail.ru G.F. Filaretov - Dr.Sc. (Eng.), Professor, Department of Management and Informatics, National Research University «Moscow Power Engineering Institute». E-mail: gefefi@yandex.ru
Abstract:
A task posed to develop educational software tool for neural network methods to analyze and synthesis of control systems. An actuality of the development was highlighted due to specifics of target task and proposed capability to use on engineering departments of universities. Comparative analysis with analogous software was performed. Main system and functional re-quirements were formulated. Architecture of the software package and typical tasks to solve were observed. Details of main elements of control system implementation used for modelling, investigation and synthesis were represented. Several examples of such control system modelling elements were introduced including single-input single-output, multiple-input multiple-output models and artificial neural networks. Few separate components of graphics user interface were demonstrated. Successful experience of the software package application for educational and research purpose was emphasized.
Pages: 74-78
References

 

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