Verwandte Artikel zu Metaheuristic Methodologies reinforce Fuzzy Controller...
Inhaltsangabe
The hybrid metaheuristic optimization algorithm methodologies, which are functional and powerful application utilities, have developed and achieved many satisfactory results, recently. Decision and control are responsible for ensuring that achieved properly system performances. In our society, the safe, reliable, and efficient control of these systems are vital. Thus, automatic decision and control systems are ubiquitous in human engineered systems and have an enormous impact on our lives. As modern systems become more and more complex: aircraft, automobiles, manufacturing systems, and industrial processes,etc. Hence, the performance requirements more stringent, decision and control improvements are required that deliver guaranteed performance also the satisfaction of prescribed goals. This article built up the elite algorithms and applied it to control a Tricopter as the UAV model.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
The hybrid metaheuristic optimization algorithm methodologies, which are functional and powerful application utilities, have developed and achieved many satisfactory results, recently. Decision and control are responsible for ensuring that achieved properly system performances. In our society, the safe, reliable, and efficient control of these systems are vital. Thus, automatic decision and control systems are ubiquitous in human engineered systems and have an enormous impact on our lives. As modern systems become more and more complex: aircraft, automobiles, manufacturing systems, and industrial processes,etc. Hence, the performance requirements more stringent, decision and control improvements are required that deliver guaranteed performance also the satisfaction of prescribed goals. This article built up the elite algorithms and applied it to control a Tricopter as the UAV model.
Biografía del autor
Tran, Huu Khoa is a current Lecturer of Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Vietnam. He has a Ph.D. in Mechatronics from Southern Taiwan University of Science and Technology, Taiwan in 2015. His research focuses on Fuzzy Control, Robotic, Metaheuristic Optimization and Computer Vision.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 49,90
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerSuchergebnisse für Metaheuristic Methodologies reinforce Fuzzy Controller...
Foto des Verkäufers
Metaheuristic Methodologies reinforce Fuzzy Controller for a Tricopter
Verlag:
LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3330031050
ISBN 13: 9783330031050
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -The hybrid metaheuristic optimization algorithm methodologies, which are functional and powerful application utilities, have developed and achieved many satisfactory results, recently. Decision and control are responsible for ensuring that achieved properly system performances. In our society, the safe, reliable, and efficient control of these systems are vital. Thus, automatic decision and control systems are ubiquitous in human engineered systems and have an enormous impact on our lives. As modern systems become more and more complex: aircraft, automobiles, manufacturing systems, and industrial processes,etc. Hence, the performance requirements more stringent, decision and control improvements are required that deliver guaranteed performance also the satisfaction of prescribed goals. This article built up the elite algorithms and applied it to control a Tricopter as the UAV model.Books on Demand GmbH, Überseering 33, 22297 Hamburg 112 pp. Englisch. Artikel-Nr. 9783330031050
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Metaheuristic Methodologies reinforce Fuzzy Controller for a Tricopter
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330031050
ISBN 13: 9783330031050
Neu
Paperback
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 112 pages. 8.66x5.91x0.26 inches. In Stock. Artikel-Nr. 3330031050
Anzahl: 1 verfügbar