CONTROLO 2016 [electronic resource] : Proceedings of the 12th Portuguese Conference on Automatic Control / edited by Paulo Garrido, Filomena Soares, António Paulo Moreira.
Contributor(s): Garrido, Paulo [editor.] | Soares, Filomena [editor.] | Moreira, António Paulo [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Electrical Engineering: 402Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XVIII, 889 p. 457 illus., 351 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319436715.Subject(s): Control engineering | Robotics | Automation | System theory | Control theory | Control and Systems Theory | Control, Robotics, Automation | Systems Theory, ControlAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 629.8312 | 003 Online resources: Click here to access onlineControl Theory -- Optimal and Predictive Control -- Fuzzy, Neural and Genetic Control -- Modeling and Identification -- Sensing and Estimation -- Robotics -- Mechatronics -- Manufacturing Systems and Scheduling -- Vibration Control -- Applications in Agricultural Systems -- Power Systems Applications -- General Applications -- Education.
The biennial CONTROLO conferences are the main events promoted by The CONTROLO 2016 – 12th Portuguese Conference on Automatic Control, Guimarães, Portugal, September 14th to 16th, was organized by Algoritmi, School of Engineering, University of Minho, in partnership with INESC TEC, and promoted by the Portuguese Association for Automatic Control – APCA, national member organization of the International Federation of Automatic Control – IFAC. The seventy-five papers published in this volume cover a wide range of topics. Thirty-one of them, of a more theoretical nature, are distributed among the first five parts: Control Theory; Optimal and Predictive Control; Fuzzy, Neural and Genetic Control; Modeling and Identification; Sensing and Estimation. The papers go from cutting-edge theoretical research to innovative control applications and show expressively how Automatic Control can be used to increase the well being of people. .
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