Your browser doesn't support javascript.
loading
Novel results on asymptotic stability and synchronization of fractional-order memristive neural networks with time delays: The 0<뫲1 case.
Zhang, Jia-Rui; Lu, Jun-Guo; Jin, Xiao-Chuang; Yang, Xing-Yu.
Afiliación
  • Zhang JR; Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, PR China; Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, PR China; Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai 200240, PR
  • Lu JG; Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, PR China; Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, PR China; Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai 200240, PR
  • Jin XC; Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, PR China; Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, PR China; Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai 200240, PR
  • Yang XY; Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, PR China; Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, PR China; Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai 200240, PR
Neural Netw ; 167: 680-691, 2023 Oct.
Article en En | MEDLINE | ID: mdl-37722271
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Redes Neurales de la Computación Idioma: En Revista: Neural Netw Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Puerto Rico
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Redes Neurales de la Computación Idioma: En Revista: Neural Netw Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Puerto Rico