Neural network control of vehicles :: modeling and simulation /
"In the past few years, considerable interest has been shown and relevant resources have been devoted to the design, development and operation of autonomous aerial, underwater, and sea surface vehicles. The possibility of removing human pilots from danger and the size and cost advantages of aut...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Nova Science Publishers, Inc.,
[2022]
|
| Schriftenreihe: | Computer science, technology and applications.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "In the past few years, considerable interest has been shown and relevant resources have been devoted to the design, development and operation of autonomous aerial, underwater, and sea surface vehicles. The possibility of removing human pilots from danger and the size and cost advantages of autonomous vehicles are indeed attractive, but often have to be compared with the performance that can be attained by human-piloted vehicles, in terms of mission capabilities, efficiency and flexibility. The operation of an autonomous vehicle in an unknown, dynamic and potentially hostile environment is a very complex problem, especially when the autonomous vehicle is required to use its full maneuvering capabilities and to react in real time to changes in the operational environment. A common way of dealing with highly complex systems is via a hierarchical decomposition of the activities to be performed by the autonomous vehicles. However, only limited results can be obtained with this method. Another method is to design a hybrid control system that offers safety and performance guarantees by use of neural control technique. Neural networks appear to offer a new, promising direction toward better understanding of the most difficult control problems that have previously been very difficult or impossible to solve. This book provides basic approaches for the modeling and simulation of neural control systems using the MATLAB/Simulink environment for various types of vehicles, emphasizing realistic dynamics with numerous examples. These types of vehicles include experimental aircraft, self-guided missiles, unmanned miniature helicopters, autonomous underwater vehicles, and more"-- |
| Beschreibung: | 1 online resource (xii, 220 pages) : illustrations. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781685079161 1685079164 |
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| 520 | |a "In the past few years, considerable interest has been shown and relevant resources have been devoted to the design, development and operation of autonomous aerial, underwater, and sea surface vehicles. The possibility of removing human pilots from danger and the size and cost advantages of autonomous vehicles are indeed attractive, but often have to be compared with the performance that can be attained by human-piloted vehicles, in terms of mission capabilities, efficiency and flexibility. The operation of an autonomous vehicle in an unknown, dynamic and potentially hostile environment is a very complex problem, especially when the autonomous vehicle is required to use its full maneuvering capabilities and to react in real time to changes in the operational environment. A common way of dealing with highly complex systems is via a hierarchical decomposition of the activities to be performed by the autonomous vehicles. However, only limited results can be obtained with this method. Another method is to design a hybrid control system that offers safety and performance guarantees by use of neural control technique. Neural networks appear to offer a new, promising direction toward better understanding of the most difficult control problems that have previously been very difficult or impossible to solve. This book provides basic approaches for the modeling and simulation of neural control systems using the MATLAB/Simulink environment for various types of vehicles, emphasizing realistic dynamics with numerous examples. These types of vehicles include experimental aircraft, self-guided missiles, unmanned miniature helicopters, autonomous underwater vehicles, and more"-- |c Provided by publisher. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on August 19, 2022). | ||
| 650 | 0 | |a Automated vehicles |x Simulation methods. | |
| 650 | 0 | |a Airplanes |x Control systems. |0 http://id.loc.gov/authorities/subjects/sh85002799 | |
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| 650 | 6 | |a Véhicules autonomes |x Méthodes de simulation. | |
| 650 | 6 | |a Avions |x Systèmes de commande. | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 7 | |a Airplanes |x Control systems |2 fast | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
| 650 | 7 | |a Rockets (Aeronautics) |x Control systems |2 fast | |
| 650 | 7 | |a Ships |x Automation |2 fast | |
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| author | Astrov, Igor, Ph. D. |
| author_GND | http://id.loc.gov/authorities/names/n2014030857 |
| author_facet | Astrov, Igor, Ph. D. |
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| discipline | Verkehr / Transport |
| format | Electronic eBook |
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| id | ZDB-4-EBA-on1321963472 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:30:34Z |
| institution | BVB |
| isbn | 9781685079161 1685079164 |
| language | English |
| lccn | 2022020309 |
| oclc_num | 1321963472 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xii, 220 pages) : illustrations. |
| psigel | ZDB-4-EBA |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Nova Science Publishers, Inc., |
| record_format | marc |
| series | Computer science, technology and applications. |
| series2 | Computer science, technology and applications |
| spelling | Astrov, Igor, Ph. D., author. http://id.loc.gov/authorities/names/n2014030857 Neural network control of vehicles : modeling and simulation / Igor Astrov. New York : Nova Science Publishers, Inc., [2022] 1 online resource (xii, 220 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Computer science, technology and applications Includes bibliographical references and index. "In the past few years, considerable interest has been shown and relevant resources have been devoted to the design, development and operation of autonomous aerial, underwater, and sea surface vehicles. The possibility of removing human pilots from danger and the size and cost advantages of autonomous vehicles are indeed attractive, but often have to be compared with the performance that can be attained by human-piloted vehicles, in terms of mission capabilities, efficiency and flexibility. The operation of an autonomous vehicle in an unknown, dynamic and potentially hostile environment is a very complex problem, especially when the autonomous vehicle is required to use its full maneuvering capabilities and to react in real time to changes in the operational environment. A common way of dealing with highly complex systems is via a hierarchical decomposition of the activities to be performed by the autonomous vehicles. However, only limited results can be obtained with this method. Another method is to design a hybrid control system that offers safety and performance guarantees by use of neural control technique. Neural networks appear to offer a new, promising direction toward better understanding of the most difficult control problems that have previously been very difficult or impossible to solve. This book provides basic approaches for the modeling and simulation of neural control systems using the MATLAB/Simulink environment for various types of vehicles, emphasizing realistic dynamics with numerous examples. These types of vehicles include experimental aircraft, self-guided missiles, unmanned miniature helicopters, autonomous underwater vehicles, and more"-- Provided by publisher. Description based on online resource; title from digital title page (viewed on August 19, 2022). Automated vehicles Simulation methods. Airplanes Control systems. http://id.loc.gov/authorities/subjects/sh85002799 Rockets (Aeronautics) Control systems. http://id.loc.gov/authorities/subjects/sh85114722 Ships Automation. http://id.loc.gov/authorities/subjects/sh85121594 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Véhicules autonomes Méthodes de simulation. Avions Systèmes de commande. Réseaux neuronaux (Informatique) Airplanes Control systems fast Neural networks (Computer science) fast Rockets (Aeronautics) Control systems fast Ships Automation fast Print version: Astrov, Igor. Neural network control of vehicles New York : Nova Science Publishers, Inc., [2022] 9781685077570 (DLC) 2022020308 Computer science, technology and applications. http://id.loc.gov/authorities/names/no2010162081 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3269586 Volltext |
| spellingShingle | Astrov, Igor, Ph. D. Neural network control of vehicles : modeling and simulation / Computer science, technology and applications. Automated vehicles Simulation methods. Airplanes Control systems. http://id.loc.gov/authorities/subjects/sh85002799 Rockets (Aeronautics) Control systems. http://id.loc.gov/authorities/subjects/sh85114722 Ships Automation. http://id.loc.gov/authorities/subjects/sh85121594 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Véhicules autonomes Méthodes de simulation. Avions Systèmes de commande. Réseaux neuronaux (Informatique) Airplanes Control systems fast Neural networks (Computer science) fast Rockets (Aeronautics) Control systems fast Ships Automation fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85002799 http://id.loc.gov/authorities/subjects/sh85114722 http://id.loc.gov/authorities/subjects/sh85121594 http://id.loc.gov/authorities/subjects/sh90001937 |
| title | Neural network control of vehicles : modeling and simulation / |
| title_auth | Neural network control of vehicles : modeling and simulation / |
| title_exact_search | Neural network control of vehicles : modeling and simulation / |
| title_full | Neural network control of vehicles : modeling and simulation / Igor Astrov. |
| title_fullStr | Neural network control of vehicles : modeling and simulation / Igor Astrov. |
| title_full_unstemmed | Neural network control of vehicles : modeling and simulation / Igor Astrov. |
| title_short | Neural network control of vehicles : |
| title_sort | neural network control of vehicles modeling and simulation |
| title_sub | modeling and simulation / |
| topic | Automated vehicles Simulation methods. Airplanes Control systems. http://id.loc.gov/authorities/subjects/sh85002799 Rockets (Aeronautics) Control systems. http://id.loc.gov/authorities/subjects/sh85114722 Ships Automation. http://id.loc.gov/authorities/subjects/sh85121594 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Véhicules autonomes Méthodes de simulation. Avions Systèmes de commande. Réseaux neuronaux (Informatique) Airplanes Control systems fast Neural networks (Computer science) fast Rockets (Aeronautics) Control systems fast Ships Automation fast |
| topic_facet | Automated vehicles Simulation methods. Airplanes Control systems. Rockets (Aeronautics) Control systems. Ships Automation. Neural networks (Computer science) Véhicules autonomes Méthodes de simulation. Avions Systèmes de commande. Réseaux neuronaux (Informatique) Airplanes Control systems Rockets (Aeronautics) Control systems Ships Automation |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3269586 |
| work_keys_str_mv | AT astrovigor neuralnetworkcontrolofvehiclesmodelingandsimulation |