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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on cybernetics Ročník 44; číslo 12; s. 2670 - 2681
Hlavní autoři:	Yang Tang, Zidong Wang, Huijun Gao, Hong Qiao, Kurths, Jurgen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.12.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!