Data-driven feedforward control for electroporation mediated gene delivery in gene therapy / Ruoting Yang in IEEE Transactions on control systems technology, Vol. 18 N° 4 (Juillet 2010)  

Public ISBD [article]  inIEEE Transactions on control systems technology > Vol. 18 N° 4 (Juillet 2010) . - pp. 935-943 Titre : Data-driven feedforward control for electroporation mediated gene delivery in gene therapy Type de document : texte imprimé Auteurs : Ruoting Yang, Auteur ; Tzyh-Jong Tarn, Auteur ; Mingjun Zhang, Auteur Année de publication : 2011 Article en page(s) : pp. 935-943 Note générale : Génie Aérospatial Langues : Anglais (eng) Mots-clés : Data-driven Electroporation Feedforward Gene delivery therapy Index. décimale : 629.1 Résumé : This brief proposes a novel data-driven feedforward control mechanism to regulate micro/nanoscale systems subject to insufficient measurements. The theoretical framework integrates data-driven planning and formulates a feedforward controller, which is successfully applied to an electroporation mediated gene delivery problem in gene therapy. Nonlinear dynamics modeling and analysis of the biological cell electroporation process, especially hysteresis and nonlinear jump phenomenon, are discussed. Simulation results demonstrate that the proposed control outperforms existing methods in the open literature. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5286233 [article] Data-driven feedforward control for electroporation mediated gene delivery in gene therapy [texte imprimé] / Ruoting Yang, Auteur ; Tzyh-Jong Tarn, Auteur ; Mingjun Zhang, Auteur . - 2011 . - pp. 935-943. Génie Aérospatial Langues : Anglais (eng) in IEEE Transactions on control systems technology > Vol. 18 N° 4 (Juillet 2010) . - pp. 935-943 Mots-clés : Data-driven Electroporation Feedforward Gene delivery therapy Index. décimale : 629.1 Résumé : This brief proposes a novel data-driven feedforward control mechanism to regulate micro/nanoscale systems subject to insufficient measurements. The theoretical framework integrates data-driven planning and formulates a feedforward controller, which is successfully applied to an electroporation mediated gene delivery problem in gene therapy. Nonlinear dynamics modeling and analysis of the biological cell electroporation process, especially hysteresis and nonlinear jump phenomenon, are discussed. Simulation results demonstrate that the proposed control outperforms existing methods in the open literature. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5286233

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