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Model Order Reduction of Power System Application: Controller Design and Order Reduction of Large Scale System - Softcover
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The higher-order system reduces into a lower-order system by using model order reduction techniques, it is a very challenging field of the control system. The high order dynamic system has represented in mathematical models, and it characterizes either in state-space form or transfer function form. It is known as time domain and frequency domain representations. A physical system is denoted by a set of first-order differential equations in the state space representation. As same physical systems transfer function as a rational function. By using higher-order differential equations the physical systems are converted into the mathematical model. It is generally presented to reduce the order of the model holding the dominant behavior of the original system. This will improve comprehension of the physical system, decrease computational intricacy, hardware complexity decrease and disentangles the controller design. The proposed research work manages the techniques for approximating the transfer function of the high order system by one of the lower order systems. The reduced-order controller has been applied to the original higher-order system.
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Model Order Reduction of Power System Application
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LAP LAMBERT Academic Publishing Mrz 2021, 2021
ISBN 10: 6203464465
ISBN 13: 9786203464467
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The higher-order system reduces into a lower-order system by using model order reduction techniques, it is a very challenging field of the control system. The high order dynamic system has represented in mathematical models, and it characterizes either in state-space form or transfer function form. It is known as time domain and frequency domain representations. A physical system is denoted by a set of first-order differential equations in the state space representation. As same physical systems transfer function as a rational function. By using higher-order differential equations the physical systems are converted into the mathematical model. It is generally presented to reduce the order of the model holding the dominant behavior of the original system. This will improve comprehension of the physical system, decrease computational intricacy, hardware complexity decrease and disentangles the controller design. The proposed research work manages the techniques for approximating the transfer function of the high order system by one of the lower order systems. The reduced-order controller has been applied to the original higher-order system. 64 pp. Englisch. Seller Inventory # 9786203464467
Quantity: 2 available
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Model Order Reduction of Power System Application : Controller Design and Order Reduction of Large Scale System
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203464465
ISBN 13: 9786203464467
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The higher-order system reduces into a lower-order system by using model order reduction techniques, it is a very challenging field of the control system. The high order dynamic system has represented in mathematical models, and it characterizes either in state-space form or transfer function form. It is known as time domain and frequency domain representations. A physical system is denoted by a set of first-order differential equations in the state space representation. As same physical systems transfer function as a rational function. By using higher-order differential equations the physical systems are converted into the mathematical model. It is generally presented to reduce the order of the model holding the dominant behavior of the original system. This will improve comprehension of the physical system, decrease computational intricacy, hardware complexity decrease and disentangles the controller design. The proposed research work manages the techniques for approximating the transfer function of the high order system by one of the lower order systems. The reduced-order controller has been applied to the original higher-order system. Seller Inventory # 9786203464467
Quantity: 1 available
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Model Order Reduction of Power System Application
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203464465
ISBN 13: 9786203464467
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Softcover
Seller: moluna, Greven, Germany
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Condition: New. Seller Inventory # 464075546
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Model Order Reduction of Power System Application
Published by
LAP LAMBERT Academic Publishing Mär 2021, 2021
ISBN 10: 6203464465
ISBN 13: 9786203464467
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The higher-order system reduces into a lower-order system by using model order reduction techniques, it is a very challenging field of the control system. The high order dynamic system has represented in mathematical models, and it characterizes either in state-space form or transfer function form. It is known as time domain and frequency domain representations. A physical system is denoted by a set of first-order differential equations in the state space representation. As same physical systems transfer function as a rational function. By using higher-order differential equations the physical systems are converted into the mathematical model. It is generally presented to reduce the order of the model holding the dominant behavior of the original system. This will improve comprehension of the physical system, decrease computational intricacy, hardware complexity decrease and disentangles the controller design. The proposed research work manages the techniques for approximating the transfer function of the high order system by one of the lower order systems. The reduced-order controller has been applied to the original higher-order system.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Seller Inventory # 9786203464467
Quantity: 1 available