Neural Network Control of Vehicles: Modeling and Simulation
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| Title: | Neural Network Control of Vehicles: Modeling and Simulation |
|---|---|
| Description: | 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. |
| Authors: | Igor Astrov |
| Resource Type: | eBook. |
| Subjects: | Ships--Automation, Neural networks (Computer science), Rockets (Aeronautics)--Control systems, Automated vehicles--Simulation methods, Airplanes--Control systems |
| Categories: | COMPUTERS / Software Development & Engineering / Systems Analysis & Design |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: Neural Network Control of Vehicles: Modeling and Simulation – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Igor+Astrov%22">Igor Astrov</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Ships--Automation%22">Ships--Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Neural+networks+%28Computer+science%29%22">Neural networks (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Rockets+%28Aeronautics%29--Control+systems%22">Rockets (Aeronautics)--Control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Automated+vehicles--Simulation+methods%22">Automated vehicles--Simulation methods</searchLink><br /><searchLink fieldCode="DE" term="%22Airplanes--Control+systems%22">Airplanes--Control systems</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Software+Development+%26+Engineering+%2F+Systems+Analysis+%26+Design%22">COMPUTERS / Software Development & Engineering / Systems Analysis & Design</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 629.2 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Ships--Automation Type: general – SubjectFull: Neural networks (Computer science) Type: general – SubjectFull: Rockets (Aeronautics)--Control systems Type: general – SubjectFull: Automated vehicles--Simulation methods Type: general – SubjectFull: Airplanes--Control systems Type: general Titles: – TitleFull: Neural Network Control of Vehicles: Modeling and Simulation Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Igor Astrov – PersonEntity: Name: NameFull: Igor Astrov IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 – D: 26 M: 07 Type: profile Y: 2022 Identifiers: – Type: isbn-print Value: 9781685077570 – Type: isbn-electronic Value: 9781685079161 Titles: – TitleFull: Neural Network Control of Vehicles: Modeling and Simulation Type: main |
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