Advanced Control Techniques Based Controllers for Different Systems
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Advanced Control Techniques Based Controllers for Different Systems (2016)
DE PB NW RPISBN: 9783659849183 bzw. 3659849189, in Deutsch, LAP Lambert Academic Publishing Mrz 2016, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Neuware - This book introduced an adaptive control algorithm to improve the response of the different systems. The self-tuning regulator used based on the radial basis function neural network (RBFNN) for minimum phase and non-minimum phase plants. The technique can estimate the plant parameters online and can be used to update the weights of the RBFNN/ coefficients of the PI. The weight/ coefficient update equations are derived based on the well-known least mean squares principle. Various systems have been involved, some of them minimum phase such as the Single-phase full-converter drive, the magnetic levitation, one link manipulator and other non-minimum phase such as the flexible transmission. 168 pp. Englisch.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Neuware - This book introduced an adaptive control algorithm to improve the response of the different systems. The self-tuning regulator used based on the radial basis function neural network (RBFNN) for minimum phase and non-minimum phase plants. The technique can estimate the plant parameters online and can be used to update the weights of the RBFNN/ coefficients of the PI. The weight/ coefficient update equations are derived based on the well-known least mean squares principle. Various systems have been involved, some of them minimum phase such as the Single-phase full-converter drive, the magnetic levitation, one link manipulator and other non-minimum phase such as the flexible transmission. 168 pp. Englisch.
2
Advanced Control Techniques Based Controllers for Different Systems
~EN NW ABISBN: 9783659849183 bzw. 3659849189, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Deutschland, Lieferzeit: 5 Tage.
This book introduced an adaptive control algorithm to improve the response of the different systems. The self-tuning regulator used based on the radial basis function neural network (RBFNN) for minimum phase and non-minimum phase plants. The technique can estimate the plant parameters online and can be used to update the weights of the RBFNN/ coefficients of the PI. The weight/ coefficient update equations are derived based on the well-known least mean squares principle. Various systems have been involved, some of them minimum phase such as the Single-phase full-converter drive, the magnetic levitation, one link manipulator and other non-minimum phase such as the flexible transmission.
This book introduced an adaptive control algorithm to improve the response of the different systems. The self-tuning regulator used based on the radial basis function neural network (RBFNN) for minimum phase and non-minimum phase plants. The technique can estimate the plant parameters online and can be used to update the weights of the RBFNN/ coefficients of the PI. The weight/ coefficient update equations are derived based on the well-known least mean squares principle. Various systems have been involved, some of them minimum phase such as the Single-phase full-converter drive, the magnetic levitation, one link manipulator and other non-minimum phase such as the flexible transmission.
3
Advanced Control Techniques Based Controllers for Different Systems
~EN PB NWISBN: 9783659849183 bzw. 3659849189, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Advanced Control Techniques Based Controllers for Different Systems: This book introduced an adaptive control algorithm to improve the response of the different systems. The self-tuning regulator used based on the radial basis function neural network (RBFNN) for minimum phase and non-minimum phase plants. The technique can estimate the plant parameters online and can be used to update the weights of the RBFNN/ coefficients of the PI. The weight/ coefficient update equations are derived based on the well-known least mean squares principle. Various systems have been involved, some of them minimum phase such as the Single-phase full-converter drive, the magnetic levitation, one link manipulator and other non-minimum phase such as the flexible transmission. Englisch, Taschenbuch.
Advanced Control Techniques Based Controllers for Different Systems: This book introduced an adaptive control algorithm to improve the response of the different systems. The self-tuning regulator used based on the radial basis function neural network (RBFNN) for minimum phase and non-minimum phase plants. The technique can estimate the plant parameters online and can be used to update the weights of the RBFNN/ coefficients of the PI. The weight/ coefficient update equations are derived based on the well-known least mean squares principle. Various systems have been involved, some of them minimum phase such as the Single-phase full-converter drive, the magnetic levitation, one link manipulator and other non-minimum phase such as the flexible transmission. Englisch, Taschenbuch.
4
Symbolbild
Advanced Control Techniques Based Controllers for Different Systems (2016)
DE PB NW RPISBN: 9783659849183 bzw. 3659849189, in Deutsch, Lap Lambert Academic Publishing, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, 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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