Intelligence Control For An Unmanned Underwater Vehicle: Modeling, Optimization
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Symbolbild
Intelligence Control For An Unmanned Underwater Vehicle (2012)
DE PB NW RP
ISBN: 9783659247750 bzw. 3659247758, in Deutsch, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Kreiensen, NDS, Germany.
This item is printed on demand - Print on Demand Titel. - Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an Unmanned Underwater Vehicle is described in this book. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project shows a Radial Basis Function Metamodel can be used to tune the scaling factors of a Fuzzy Logic Controller. By using offline optimization approach, a comparison between Genetic Algorithm and Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using Metamodeling approach in much a shorter time compared to the Genetic Algorithm approach. 72 pp. Englisch.
This item is printed on demand - Print on Demand Titel. - Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an Unmanned Underwater Vehicle is described in this book. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project shows a Radial Basis Function Metamodel can be used to tune the scaling factors of a Fuzzy Logic Controller. By using offline optimization approach, a comparison between Genetic Algorithm and Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using Metamodeling approach in much a shorter time compared to the Genetic Algorithm approach. 72 pp. Englisch.
2
Symbolbild
Intelligence Control For An Unmanned Underwater Vehicle (2012)
DE PB NW RP
ISBN: 9783659247750 bzw. 3659247758, in Deutsch, Lap Lambert Academic Publishing Okt 2012, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Titel. - Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an Unmanned Underwater Vehicle is described in this book. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project shows a Radial Basis Function Metamodel can be used to tune the scaling factors of a Fuzzy Logic Controller. By using offline optimization approach, a comparison between Genetic Algorithm and Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using Metamodeling approach in much a shorter time compared to the Genetic Algorithm approach. 72 pp. Englisch.
This item is printed on demand - Print on Demand Titel. - Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an Unmanned Underwater Vehicle is described in this book. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project shows a Radial Basis Function Metamodel can be used to tune the scaling factors of a Fuzzy Logic Controller. By using offline optimization approach, a comparison between Genetic Algorithm and Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using Metamodeling approach in much a shorter time compared to the Genetic Algorithm approach. 72 pp. Englisch.
3
Intelligence Control For An Unmanned Underwater Vehicle
DE NW
ISBN: 9783659247750 bzw. 3659247758, in Deutsch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Lieferzeit: 11 Tage, zzgl. Versandkosten.
Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an Unmanned Underwater Vehicle is described in this book. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project shows a Radial Basis Function Metamodel can be used to tune the scaling factors of a Fuzzy Logic Controller. By using offline optimization approach, a comparison between Genetic Algorithm and Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using Metamodeling approach in much a shorter time compared to the Genetic Algorithm approach.
Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an Unmanned Underwater Vehicle is described in this book. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project shows a Radial Basis Function Metamodel can be used to tune the scaling factors of a Fuzzy Logic Controller. By using offline optimization approach, a comparison between Genetic Algorithm and Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using Metamodeling approach in much a shorter time compared to the Genetic Algorithm approach.
4
Intelligence Control For An Unmanned Underwater Vehicle - Modeling, Optimization
DE PB NW
ISBN: 9783659247750 bzw. 3659247758, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Intelligence Control For An Unmanned Underwater Vehicle: Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an Unmanned Underwater Vehicle is described in this book. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project shows a Radial Basis Function Metamodel can be used to tune the scaling factors of a Fuzzy Logic Controller. By using offline optimization approach, a comparison between Genetic Algorithm and Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using Metamodeling approach in much a shorter time compared to the Genetic Algorithm approach. Englisch, Taschenbuch.
Intelligence Control For An Unmanned Underwater Vehicle: Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an Unmanned Underwater Vehicle is described in this book. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project shows a Radial Basis Function Metamodel can be used to tune the scaling factors of a Fuzzy Logic Controller. By using offline optimization approach, a comparison between Genetic Algorithm and Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using Metamodeling approach in much a shorter time compared to the Genetic Algorithm approach. Englisch, Taschenbuch.
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Intelligence Control For An Unmanned Underwater Vehicle: Modeling, Optimization (2012)
EN PB NW
ISBN: 9783659247750 bzw. 3659247758, in Englisch, 72 Seiten, LAP LAMBERT Academic Publishing, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 24 hours.
Von Händler/Antiquariat, Amazon.com.
Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an Unmanned Underwater Vehicle is described in this book. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project shows a Radial Basis Function Metamodel can be used to tune the scaling factors of a Fuzzy Logic Controller. By using offline optimization approach, a comparison between Genetic Algorithm and Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using Metamodeling approach in much a shorter time compared to the Genetic Algorithm approach. Paperback, Label: LAP LAMBERT Academic Publishing, LAP LAMBERT Academic Publishing, Produktgruppe: Book, Publiziert: 2012-09-19, Studio: LAP LAMBERT Academic Publishing.
Von Händler/Antiquariat, Amazon.com.
Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an Unmanned Underwater Vehicle is described in this book. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project shows a Radial Basis Function Metamodel can be used to tune the scaling factors of a Fuzzy Logic Controller. By using offline optimization approach, a comparison between Genetic Algorithm and Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using Metamodeling approach in much a shorter time compared to the Genetic Algorithm approach. Paperback, Label: LAP LAMBERT Academic Publishing, LAP LAMBERT Academic Publishing, Produktgruppe: Book, Publiziert: 2012-09-19, Studio: LAP LAMBERT Academic Publishing.
6
Symbolbild
Intelligence Control For An Unmanned Underwater Vehicle: Modeling, Optimization (2012)
DE PB NW RP
ISBN: 9783659247750 bzw. 3659247758, in Deutsch, LAP LAMBERT Academic Publishing, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, English-Book-Service - A Fine Choice [1048135], Waldshut-Tiengen, Germany.
This item is printed on demand for shipment within 3 working days.
This item is printed on demand for shipment within 3 working days.
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Intelligence Control For An Unmanned Underwater Vehicle (2012)
~EN PB NW
ISBN: 9783659247750 bzw. 3659247758, vermutlich in Englisch, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Intelligence Control For An Unman (2012)
DE PB NW
ISBN: 9783659247750 bzw. 3659247758, in Deutsch, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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