Artificial Intelligence Resources in Control and Automation Engineering

Editor(s): Evelio J. González

Co-Editor(s): Leopoldo Acosta Sánchez and Alberto F. Hamilton Castro

Indexed in: Scopus

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This e-book focuses on the application of artificial intelligence resources in fields related to Control and Automation Engineering. Techniques such as neural networks, fuzzy logic and expert systems ...
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Pp. i

Lorenzo Moreno



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Evelio J. González, Leopoldo Acosta and Alberto F. Hamilton



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Evelio J. González, Leopoldo Acosta and Alberto F. Hamilton



Engineering Congestion Control of Internet Video Streaming with Fuzzy Logic

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Martin Fleury, Emanuel A. Jammeh and Mohammed Ghanbari


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Artificial Intelligence and Electrical Drives

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Ben Hamed Mouna and Sbita Lassaâd


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Mobile Manipulator with Resolved Acceleration and Knowledge-Based Fuzzy Active Force Control

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M. Mailah, E. Pitowarno and A. Noshadi


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Intelligent Systems Used in Continuous Casting Process

Pp. 159-179 (21)

Gelu Ovidiu Tirian


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A Novel Electric Load Demand Forecaster Using Taguchi’s Method and Artificial Neural Network

Pp. 180-192 (13)

Albert W.L. Yao, J.H. Sun, H.T. Liao, C.Y. Liu and C.T. Yin


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An Application of a Dynamic Matrix Control Algorithm: Path Tracking Using Predictive Control

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J. Espelosín, A. Hamilton, L. Acosta, J. Toledo and E.J. González


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Evelio J. González, Leopoldo Acosta Sánchez and Alberto F. Hamilton Castro