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9783330031050: Metaheuristic Methodologies reinforce Fuzzy Controller for a Tricopter

Sinopsis

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.

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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.

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Huu Khoa Tran
ISBN 10: 3330031050 ISBN 13: 9783330031050
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 112 pp. Englisch. Nº de ref. del artículo: 9783330031050

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Huu Khoa Tran
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330031050 ISBN 13: 9783330031050
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tran Huu KhoaTran, 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, Taiw. Nº de ref. del artículo: 158421914

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Huu Khoa Tran
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330031050 ISBN 13: 9783330031050
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783330031050

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ISBN 10: 3330031050 ISBN 13: 9783330031050
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783330031050

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Tran, Huu Khoa
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330031050 ISBN 13: 9783330031050
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Paperback. Condición: Brand New. 112 pages. 8.66x5.91x0.26 inches. In Stock. Nº de ref. del artículo: 3330031050

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