Proceedings of the 2015 Chinese Intelligent Automation Conference Intelligent Automation / edited by Zhidong Deng, Hongbo Li.
Contributor(s): Deng, Zhidong., editor literario | Li, Hongbo, editor literario
Material type:
E-bookSeries: (Lecture Notes in Electrical Engineering,, 1876-1100 ;; 337); (Engineering (Springer-11647)).Publisher: Berlin, Heidelberg : Springer International Publishing, 2015Description: 1 recurso en línea (X, 585 páginas 266 ilustraciones).ISBN: 9783662464632.Subject: Sistemas de control inteligente
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TJ217.5 P763 2015 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.12112513 |
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| TJ217.5 L585 2018 EB Intelligent Control Design and MATLAB Simulation | TJ217.5 N493 2016 EB New Approaches in Intelligent Control : Techniques, Methodologies and Applications | TJ217.5 O946 2016 EB Iterative Learning Control : An Optimization Paradigm | TJ217.5 P763 2015 EB Proceedings of the 2015 Chinese Intelligent Automation Conference Intelligent Automation | TJ217.5 P763 2015 EB Proceedings of the 2015 Chinese Intelligent Automation Conference Intelligent Technology and Systems | TJ217.5 P763 2015 EB Proceedings of the 2015 Chinese Intelligent Automation Conference : Intelligent Information Processing | TJ217.5 P763 2018 EB Proceedings of 2017 Chinese Intelligent Automation Conference |
Dissipativity Analysis and Synthesis of Singular Systems via Delta Operator Method -- An Application of Artificial Neural Networks in crane operation status monitoring -- Simulation Study of General Cargo Yard Layout.
Proceedings of the 2015 Chinese Intelligent Automation Conference presents selected research papers from the CIAC'15, held in Fuzhou, China. The topics include adaptive control, fuzzy control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, reconfigurable control, etc. Engineers and researchers from academia, industry and the government can gain valuable insights into interdisciplinary solutions in the field of intelligent automation.
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