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Condition: as new. Wie neu/Like new.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | This book contains all refereed papers that were accepted to the second edition of the « Complex Systems Design & Management » (CSDM 2011) international conference that took place in Paris (France) from December 7 to December 9, 2011. (Website: [LINK ENTFERNT]).These proceedings cover the most recent trends in the emerging field of complex systems sciences & practices from an industrial and academic perspective, including the main industrial domains (transport, defense & security, electronics, energy & environment, e-services), scientific & technical topics (systems fundamentals, systems architecture& engineering, systems metrics & quality, systemic tools) and system types (transportation systems, embedded systems, software & information systems, systems of systems, artificial ecosystems).The CSDM 2011 conference is organized under the guidance of the CESAMES non-profit organization ([LINK ENTFERNT]).
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State Estimation and Stabilization of Nonlinear Systems (Hardcover)
Language: English
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031379691 ISBN 13: 9783031379697
Hardcover. Condition: new. Hardcover. This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system's state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal forthe stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 456 | Sprache: Englisch | Produktart: Bücher | This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system's state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal forthe stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps).
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Fractional Calculus and Applications (Hardcover)
Book 422 of 464: Springer Proceedings in Mathematics & StatisticsLanguage: English
Published by Springer International Publishing AG, Cham, 2025
ISBN 10: 3031953800 ISBN 13: 9783031953804
Hardcover. Condition: new. Hardcover. This proceedings volume convenes works within the field of fractional calculus and its applications, presented at the International Conference on Fractional Differentiation and its Applications (ICFCA), held in Sousse, Tunisia, from December 26th to 30th, 2024.In its first rendition, the ICFCA gathers papers from several countries such as Algeria, Lebanon, Qatar, Tunisia, Tuerkiye, and United Arab Emirates, among others. It aims to provide a unique platform for researchers engaged in fractional calculus in a mathematical context. Covered topics range from foundational aspects, such as fractional differential equations, stability analysis, boundary value problems, and inverse problems, to more applied aspects such as fractional control systems, and the use of fractional calculus tools and techniques in physics, engineering, biology, and more.This volume fills a gap in the fractional calculus landscape by covering theoretical developments and applications in various fields while showcasing the recent findings of a new generation of researchers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Taschenbuch. Condition: Neu. State Estimation and Stabilization of Nonlinear Systems | Theory and Applications | Abdellatif Ben Makhlouf (u. a.) | Taschenbuch | Studies in Systems, Decision and Control | vii | Englisch | 2024 | Springer | EAN 9783031379727 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Complex Systems Design & Management : Proceedings of the Second International Conference on Complex Systems Design & Management Csdm 2011
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Complex Systems Design & Management
Language: English
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642429165 ISBN 13: 9783642429163
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Complex Systems Design & Management
Language: English
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642252028 ISBN 13: 9783642252020
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Complex Systems Design & Management: Proceedings of the Second International Conference on Complex Systems Design & Management CSDM 2011
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Complex Systems Design & Management: Proceedings of the Second International Conference on Complex Systems Design & Management CSDM 2011
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Fractional Calculus and Applications : Icfca 2024, Sousse, Tunisia, December 26?30
Book 422 of 464: Springer Proceedings in Mathematics & StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system's state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal forthe stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps).
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Condition: As New. Unread book in perfect condition.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system's state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal forthe stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps).
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Condition: As New. Unread book in perfect condition.
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Taschenbuch. Condition: Neu. Complex Systems Design & Management | Proceedings of the Second International Conference on Complex Systems Design & Management CSDM 2011 | Omar Hammami (u. a.) | Taschenbuch | xxiv | Englisch | 2014 | Springer | EAN 9783642429163 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Complex Systems Design & Management : Proceedings of the Second International Conference on Complex Systems Design & Management Csdm 2011
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Add to basketHardcover. Condition: Brand New. 452 pages. 9.25x6.10x1.06 inches. In Stock.
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Fractional Calculus and Applications : Icfca 2024, Sousse, Tunisia, December 26?30
Book 422 of 464: Springer Proceedings in Mathematics & StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. pp. xxiv + 360.
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Condition: New. pp. 384.
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Complex Systems Design & Management : Proceedings of the Second International Conference on Complex Systems Design & Management CSDM 2011
Language: English
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642429165 ISBN 13: 9783642429163
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering.
