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Adaptive-type servo controller utilizing a quantum neural network with qubit neurons.
- Source :
-
International Journal of Hybrid Intelligent Systems . 2013, Vol. 10 Issue 3, p151-164. 14p. - Publication Year :
- 2013
-
Abstract
- This study presents an adaptive-type controller based on a quantum neural network and investigates its characteristics for control systems. A multi-layer quantum neural network which uses qubit neurons as an information processing unit is utilized to design three types of the adaptive-type quantum-neural-network-based controllers which conduct the learning of the quantum neural network as an online process: a direct controller, a parallel controller and an indirect controller. Computational experiments to control the single-input single-output non-linear discrete-time plant are conducted to evaluate the learning performance and capability of quantum neural controllers. The results of the computational experiments confirm the feasibility and effectiveness of adaptive-type quantum neural controllers. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14485869
- Volume :
- 10
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- International Journal of Hybrid Intelligent Systems
- Publication Type :
- Academic Journal
- Accession number :
- 89094576
- Full Text :
- https://doi.org/10.3233/HIS-130174