On Controllability of Neuronal Networks With Constraints on the Average of Control Gains

Control gains play an important role in the control of a natural or a technical system since they reflect how much resource is required to optimize a certain control objective. This paper is concerned with the controllability of neuronal networks with constraints on the average value of the control...

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Bibliographic Details
Published in:	IEEE transactions on cybernetics Vol. 44; no. 12; pp. 2670 - 2681
Main Authors:	Yang Tang, Zidong Wang, Huijun Gao, Hong Qiao, Kurths, Jurgen
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.12.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Biological neural networks Collision avoidance systems Complex networks Constraints Control systems Controllability Dominance Educational institutions Evolution evolutionary algorithms Gain multiagent systems Networks neural networks Optimization Real time Statistical methods synchronization/consensus synchronization/consensus controllability Complex networks evolutionary algorithms neural networks multiagent systems
ISSN:	2168-2267, 2168-2275, 2168-2275
Online Access:	Get full text
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