Methods and Applications of Intelligent Control:
This book is concerned with Intelligent Control methods and applications. The field of intelligent control has been expanded very much during the recent years and a solid body of theoretical and practical results are now available. These results have been obtained through the synergetic fusion of co...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
1997
|
| Schriftenreihe: | Microprocessor-Based and Intelligent Systems Engineering
16 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | This book is concerned with Intelligent Control methods and applications. The field of intelligent control has been expanded very much during the recent years and a solid body of theoretical and practical results are now available. These results have been obtained through the synergetic fusion of concepts and techniques from a variety of fields such as automatic control, systems science, computer science, neurophysiology and operational research. Intelligent control systems have to perform anthropomorphic tasks fully autonomously or interactively with the human under known or unknown and uncertain environmental conditions. Therefore the basic components of any intelligent control system include cognition, perception, learning, sensing, planning, numeric and symbolic processing, fault detection/repair, reaction, and control action. These components must be linked in a systematic, synergetic and efficient way. Predecessors of intelligent control are adaptive control, self-organizing control, and learning control which are well documented in the literature. Typical application examples of intelligent controls are intelligent robotic systems, intelligent manufacturing systems, intelligent medical systems, and intelligent space teleoperators. Intelligent controllers must employ both quantitative and qualitative information and must be able to cope with severe temporal and spatial variations, in addition to the fundamental task of achieving the desired transient and steady-state performance. Of course the level of intelligence required in each particular application is a matter of discussion between the designers and users. The current literature on intelligent control is increasing, but the information is still available in a sparse and disorganized way |
| Beschreibung: | 1 Online-Ressource (XIX, 564 p) |
| ISBN: | 9789401154987 |
| DOI: | 10.1007/978-94-011-5498-7 |
Internformat
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| 520 | |a This book is concerned with Intelligent Control methods and applications. The field of intelligent control has been expanded very much during the recent years and a solid body of theoretical and practical results are now available. These results have been obtained through the synergetic fusion of concepts and techniques from a variety of fields such as automatic control, systems science, computer science, neurophysiology and operational research. Intelligent control systems have to perform anthropomorphic tasks fully autonomously or interactively with the human under known or unknown and uncertain environmental conditions. Therefore the basic components of any intelligent control system include cognition, perception, learning, sensing, planning, numeric and symbolic processing, fault detection/repair, reaction, and control action. These components must be linked in a systematic, synergetic and efficient way. Predecessors of intelligent control are adaptive control, self-organizing control, and learning control which are well documented in the literature. Typical application examples of intelligent controls are intelligent robotic systems, intelligent manufacturing systems, intelligent medical systems, and intelligent space teleoperators. Intelligent controllers must employ both quantitative and qualitative information and must be able to cope with severe temporal and spatial variations, in addition to the fundamental task of achieving the desired transient and steady-state performance. Of course the level of intelligence required in each particular application is a matter of discussion between the designers and users. The current literature on intelligent control is increasing, but the information is still available in a sparse and disorganized way | ||
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:54Z |
| institution | BVB |
| isbn | 9789401154987 |
| language | English |
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| spelling | Methods and Applications of Intelligent Control edited by Spyros G. Tzafestas Dordrecht Springer Netherlands 1997 1 Online-Ressource (XIX, 564 p) txt rdacontent c rdamedia cr rdacarrier Microprocessor-Based and Intelligent Systems Engineering 16 This book is concerned with Intelligent Control methods and applications. The field of intelligent control has been expanded very much during the recent years and a solid body of theoretical and practical results are now available. These results have been obtained through the synergetic fusion of concepts and techniques from a variety of fields such as automatic control, systems science, computer science, neurophysiology and operational research. Intelligent control systems have to perform anthropomorphic tasks fully autonomously or interactively with the human under known or unknown and uncertain environmental conditions. Therefore the basic components of any intelligent control system include cognition, perception, learning, sensing, planning, numeric and symbolic processing, fault detection/repair, reaction, and control action. These components must be linked in a systematic, synergetic and efficient way. Predecessors of intelligent control are adaptive control, self-organizing control, and learning control which are well documented in the literature. Typical application examples of intelligent controls are intelligent robotic systems, intelligent manufacturing systems, intelligent medical systems, and intelligent space teleoperators. Intelligent controllers must employ both quantitative and qualitative information and must be able to cope with severe temporal and spatial variations, in addition to the fundamental task of achieving the desired transient and steady-state performance. Of course the level of intelligence required in each particular application is a matter of discussion between the designers and users. The current literature on intelligent control is increasing, but the information is still available in a sparse and disorganized way Engineering Mechanical Engineering Quality Control, Reliability, Safety and Risk Control Electrical Engineering Systems Theory, Control Engineering Design System theory Mechanical engineering Engineering design Control engineering Quality control Reliability Industrial safety Electrical engineering Tzaphestas, Spyros G. 1939- (DE-588)12055707X edt Erscheint auch als Druck-Ausgabe 9789401063142 Microprocessor-Based and Intelligent Systems Engineering 16 (DE-604)BV046828176 16 https://doi.org/10.1007/978-94-011-5498-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Methods and Applications of Intelligent Control Microprocessor-Based and Intelligent Systems Engineering Engineering Mechanical Engineering Quality Control, Reliability, Safety and Risk Control Electrical Engineering Systems Theory, Control Engineering Design System theory Mechanical engineering Engineering design Control engineering Quality control Reliability Industrial safety Electrical engineering |
| title | Methods and Applications of Intelligent Control |
| title_auth | Methods and Applications of Intelligent Control |
| title_exact_search | Methods and Applications of Intelligent Control |
| title_full | Methods and Applications of Intelligent Control edited by Spyros G. Tzafestas |
| title_fullStr | Methods and Applications of Intelligent Control edited by Spyros G. Tzafestas |
| title_full_unstemmed | Methods and Applications of Intelligent Control edited by Spyros G. Tzafestas |
| title_short | Methods and Applications of Intelligent Control |
| title_sort | methods and applications of intelligent control |
| topic | Engineering Mechanical Engineering Quality Control, Reliability, Safety and Risk Control Electrical Engineering Systems Theory, Control Engineering Design System theory Mechanical engineering Engineering design Control engineering Quality control Reliability Industrial safety Electrical engineering |
| topic_facet | Engineering Mechanical Engineering Quality Control, Reliability, Safety and Risk Control Electrical Engineering Systems Theory, Control Engineering Design System theory Mechanical engineering Engineering design Control engineering Quality control Reliability Industrial safety Electrical engineering |
| url | https://doi.org/10.1007/978-94-011-5498-7 |
| volume_link | (DE-604)BV046828176 |
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