On controllability of neuronal networks with constraints on the average of control gains

IEEE Transactions on Cybernetics

Volumn 44, Issue 12, 2014, Pages 2670-2681

  Tang, Yang ^a,b   Wang, Zidong ^c,d   Gao, Huijun ^d,e   Qiao, Hong ^f   Kurths, Jürgen ^a,b,g  

^a POTSDAM INSTITUTE FOR CLIMATE IMPACT RESEARCH   (Germany)

^b HUMBOLDT UNIVERSITY   (Germany)

^c BRUNEL UNIVERSITY   (United Kingdom)

^d KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

^e HARBIN INSTITUTE OF TECHNOLOGY   (China)

^f INSTITUTE OF AUTOMATION   (China)

^g UNIVERSITY OF ABERDEEN   (United Kingdom)

Author keywords

Complex networks; Controllability; Evolutionary algorithms; Multiagent systems; Neural networks; Synchronization consensus

Indexed keywords

BIOLOGY; COMPLEX NETWORKS; CONSTRAINED OPTIMIZATION; CONTROLLABILITY; EVOLUTIONARY ALGORITHMS; MULTI AGENT SYSTEMS; NEURONS;

ADAPTIVE DIFFERENTIAL EVOLUTIONS; CONSTRAINED OPTIMI-ZATION PROBLEMS; CONTROL OBJECTIVES; CONTROLLABILITY PROBLEMS; HYBRID FRAMEWORK; NEURONAL NETWORKS; PARETO DOMINANCE; TECHNICAL SYSTEMS;

NEURAL NETWORKS;

EID: 84912105605     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCYB.2014.2313154     Document Type: Article

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