Models of multi-alternative control and decision-making in complex systems

Autor:	S. L. Podvalny, E. M. Vasiljev, V. F. Barabanov
Rok vydání:	2014
Předmět:	Modularity (networks) Artificial neural network Control and Systems Engineering business.industry Computer science Complex system Systems engineering Intelligent control system Alternative control Artificial intelligence Electrical and Electronic Engineering business Control (linguistics)
Zdroj:	Automation and Remote Control. 75:1886-1891
ISSN:	1608-3032 0005-1179
Popis:	This paper states the evolutionary approach to constructing models of control and decision-making. The approach is grounded on the most general principles of functioning in biological systems, namely, the principles of modularity, multilevel and multi-alternativeness. And finally, the authors consider some directions of implementing these principles in models of intelligent control systems using neural network technology.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9f13ea2fa1406308012cf48b020e77ec https://doi.org/10.1134/s0005117914100166 Zobrazit plný text záznamu Plný text ve formátu PDF