Holdings: Nature-inspired computing for control systems

Nature-inspired computing for control systems:

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Bibliographic Details
Other Authors:	Ponce Espinosa, Hiram Eredín (Editor)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer [2016]
Series:	Studies in systems, decision and control Volume 40
Subjects:	Engineering Artificial intelligence Computational intelligence Control engineering Computational Intelligence Control Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
Online Access:	BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Abstract
Physical Description:	1 Online Ressource
ISBN:	9783319262307
DOI:	10.1007/978-3-319-26230-7

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adam_text	NATURE-INSPIRED COMPUTING FOR CONTROL SYSTEMS / : 2016 ABSTRACT / INHALTSTEXT THE BOOK PRESENTS RECENT ADVANCES IN NATURE-INSPIRED COMPUTING, GIVING A SPECIAL EMPHASIS TO CONTROL SYSTEMS APPLICATIONS. IT REVIEWS DIFFERENT TECHNIQUES USED FOR SIMULATING PHYSICAL, CHEMICAL, BIOLOGICAL OR SOCIAL PHENOMENA AT THE PURPOSE OF DESIGNING ROBUST, PREDICTIVE AND ADAPTIVE CONTROL STRATEGIES. THE BOOK IS A COLLECTION OF SEVERAL CONTRIBUTIONS, COVERING EITHER MORE GENERAL APPROACHES IN CONTROL SYSTEMS, OR METHODOLOGIES FOR CONTROL TUNING AND ADAPTIVE CONTROLLERS, AS WELL AS EXCITING APPLICATIONS OF NATURE-INSPIRED TECHNIQUES IN ROBOTICS. ON ONE SIDE, THE BOOK IS EXPECTED TO MOTIVATE READERS WITH A BACKGROUND IN CONVENTIONAL CONTROL SYSTEMS TO TRY OUT THESE POWERFUL TECHNIQUES INSPIRED BY NATURE. ON THE OTHER SIDE, THE BOOK PROVIDES ADVANCED READERS WITH A DEEPER UNDERSTANDING OF THE FIELD AND A BROAD SPECTRUM OF DIFFERENT METHODS AND TECHNIQUES. ALL IN ALL, THE BOOK IS AN OUTSTANDING, PRACTICE-ORIENTED REFERENCE GUIDE TO NATURE-INSPIRED COMPUTING ADDRESSING GRADUATE STUDENTS, RESEARCHERS AND PRACTITIONERS IN THE FIELD OF CONTROL ENGINEERING DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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id	DE-604.BV043309071
illustrated	Not Illustrated
indexdate	2025-02-20T06:52:42Z
institution	BVB
isbn	9783319262307
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-028729767
oclc_num	934192152
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publishDate	2016
publishDateSearch	2016
publishDateSort	2016
publisher	Springer
record_format	marc
series	Studies in systems, decision and control
series2	Studies in systems, decision and control
spellingShingle	Nature-inspired computing for control systems Studies in systems, decision and control Engineering Artificial intelligence Computational intelligence Control engineering Computational Intelligence Control Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
title	Nature-inspired computing for control systems
title_auth	Nature-inspired computing for control systems
title_exact_search	Nature-inspired computing for control systems
title_full	Nature-inspired computing for control systems Hiram Eredín Ponce Espinosa, editor
title_fullStr	Nature-inspired computing for control systems Hiram Eredín Ponce Espinosa, editor
title_full_unstemmed	Nature-inspired computing for control systems Hiram Eredín Ponce Espinosa, editor
title_short	Nature-inspired computing for control systems
title_sort	nature inspired computing for control systems
topic	Engineering Artificial intelligence Computational intelligence Control engineering Computational Intelligence Control Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
topic_facet	Engineering Artificial intelligence Computational intelligence Control engineering Computational Intelligence Control Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
url	https://doi.org/10.1007/978-3-319-26230-7 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028729767&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV041646147
work_keys_str_mv	AT ponceespinosahirameredin natureinspiredcomputingforcontrolsystems

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