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Proceedings of the 2015 Chinese Intelligent Automation Conference electronic resource Intelligent Automation / edited by Zhidong Deng, Hongbo Li.

Contributor(s): Deng, Zhidong [editor.] | Li, Hongbo [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Electrical EngineeringPublication details: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015Description: X, 585 p. 266 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783662464632Subject(s): engineering | Computational Intelligence | Control Engineering | Robotics | Automation | Engineering | Robotics and Automation | Computational Intelligence | controlDDC classification: 629.892 LOC classification: TJ210.2-211.495T59.5Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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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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