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

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

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 consid...

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Veröffentlicht in:Automation and remote control 2014-10, Vol.75 (10), p.1886-1891
Hauptverfasser: Podvalny, S. L., Vasiljev, E. M., Barabanov, V. F.
Format: Artikel
Sprache:eng
Schlagworte:
CAE) and Design
Calculus of Variations and Optimal Control
Optimization
Complex systems
Computer-Aided Engineering (CAD
Control
Control systems
Control Systems and Information Technologies
Decision making
Evolutionary
Mathematics
Mathematics and Statistics
Mechanical Engineering
Mechatronics
Modularity
Multilevel
Neural networks
Remote control
Robotics
Systems Theory
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Beschreibung
Zusammenfassung: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.
ISSN:0005-1179
1608-3032
DOI:10.1134/S0005117914100166