model order reduction system (26 résultats)

Etat : New.

Etat : New.

Taschenbuch. Etat : Neu. Model Order Reduction of Power System Application | Controller Design and Order Reduction of Large Scale System | Anurag Singh (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203464467 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Paperback. Etat : Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock.

Taschenbuch. Etat : Neu. Design of Robust Power System Stabilizers | for Multi-machine Power System via Evolutionary Model Order Reduction Technique using Fast Output Sampling Method | Mahendra Kumar (u. a.) | Taschenbuch | 132 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786202064927 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Etat : Neu. Model Order Reduction Techniques in Control System Design | Ramesh Komarasami | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208446062 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Etat : Sehr gut. Zustand: Sehr gut | Seiten: 388 | Sprache: Englisch | Produktart: Bücher | An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques.

Etat : New. In.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques.

Taschenbuch. Etat : 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.

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Etat : 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.

Taschenbuch. Etat : 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.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 176 pp. Englisch.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The accurate analysis of higher order systems are complex, uneconomic and complicated to be used in real problems. Therefore, it is reasonable to sacrifice with model accuracy in order to obtain a simpler model. It is recommended to reduce the order of system model while keeping the dominant behavior of the original system. This low-order model will help to better understanding of the physical system, reduce computational complexity, reduce hardware complexity, economic, simplify the controller design and finally, the simulation becomes computationally cheaper, which saves time and resources. This dissertation proposed the designing of robust power system stabilizers (PSSs) using fast output sampling controllers via reduced order model using particle swarm optimization (PSO) method for good damping enhancement for various operating points of multi-machine power systems. Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system to enhance the damping of electrical power system during low frequency oscillations.

Paperback. Etat : new. Paperback. In modeling physical systems, the order of the system gives an idea of the measure of accuracy of the modeling of the system. The higher order system model will be more accurate in describing the physical system. But in several cases, the amount of information contained in a complex model may obfuscate simple, insightful behaviors, which can be better captured and explored by a model with a much lesser order. Thus, by approximating a higher order system to a suitable lower order system, a much better understanding of the system is reached. Hence, the process of Model Order Reduction involves studying the properties of a complex dynamic system in application for reducing its complexity, while preserving (to the maximum possible extent) its input - output behavior. Depending upon the practical application, certain specific properties of the higher order complex system have to be preserved in the reduced order model. The detailed comparative analysis of proposed model order reduction scenarios over the conventional reduction schemes has been presented in this book to validate the effectiveness of the proposed reduction schemes. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In modeling physical systems, the order of the system gives an idea of the measure of accuracy of the modeling of the system. The higher order system model will be more accurate in describing the physical system. But in several cases, the amount of information contained in a complex model may obfuscate simple, insightful behaviors, which can be better captured and explored by a model with a much lesser order. Thus, by approximating a higher order system to a suitable lower order system, a much better understanding of the system is reached. Hence, the process of Model Order Reduction involves studying the properties of a complex dynamic system in application for reducing its complexity, while preserving (to the maximum possible extent) its input - output behavior. Depending upon the practical application, certain specific properties of the higher order complex system have to be preserved in the reduced order model. The detailed comparative analysis of proposed model order reduction scenarios over the conventional reduction schemes has been presented in this book to validate the effectiveness of the proposed reduction schemes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

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Etat : New. Print on Demand.

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Taschenbuch. Etat : Neu. Partial Order Reduction | Computer Science, State Transition System, Model Checking | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786133352698 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques. 388 pp. Englisch.

Buch. Etat : Neu. Model Order Reduction, Volume 1, System- and Data-Driven Methods and Algorithms | Peter Benner (u. a.) | Buch | X | Englisch | 2025 | De Gruyter | EAN 9783110500431 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu Print on Demand.