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Analysis and Synthesis of Nonlinear Control Systems: a Convex Optimisation Approach: 408 (Studies in Systems, Decision and Control, 408) [Hardcover] [Feb 06, 2022] Bernal, Miguel; Sala, Antonio; Lendek, Zsófia and Guerra, Thierry Marie
Bernal, Miguel; Sala, Antonio; Lendek, Zsófia; Guerra, Thierry Marie
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 367 di 378 - Studies in Systems, Decision and Control
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Stability Analysis and Nonlinear Observer Design using Takagi-Sugeno Fuzzy Models (Studies in Fuzziness and Soft Computing, 262)
Lendek, Zsófia; Guerra, T. M.; Babuška, Robert; De Schutter, Bart
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Analysis and Synthesis of Nonlinear Control Systems: A Convex Optimisation Approach (Studies in Systems, Decision and Control)
Bernal, Miguel; Sala, Antonio; Lendek, Zsófia; Guerra, Thierry Marie
Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 367 di 378 - Studies in Systems, Decision and Control
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Analysis and Synthesis of Nonlinear Control Systems: A Convex Optimisation Approach (Studies in Systems, Decision and Control, 408)
Bernal, Miguel; Sala, Antonio; Lendek, Zsófia; Guerra, Thierry Marie
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 367 di 378 - Studies in Systems, Decision and Control
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Taschenbuch. Condizione: Neu. Stability Analysis and Nonlinear Observer Design using Takagi-Sugeno Fuzzy Models | Zsófia Lendek (u. a.) | Taschenbuch | Studies in Fuzziness and Soft Computing | ix | Englisch | 2012 | Springer | EAN 9783642265679 | 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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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many problems in decision making, monitoring, fault detection, and control require the knowledge of state variables and time-varying parameters that are not directly measured by sensors. In such situations, observers, or estimators, can be employe…d that use the measured input and output signals along with a dynamic model of the system in order to estimate the unknown states or parameters. An essential requirement in designing an observer is to guarantee the convergence of the estimates to the true values or at least to a small neighborhood around the true values. However, for nonlinear, large-scale, or time-varying systems, the design and tuning of an observer is generally complicated and involves large computational costs. This book provides a range of methods and tools to design observers for nonlinear systems represented by a special type of a dynamic nonlinear model -- the Takagi--Sugeno (TS) fuzzy model. The TS model is a convex combination of affine linear models, which facilitates its stability analysis and observer design by using effective algorithms based on Lyapunov functions and linear matrix inequalities. Takagi--Sugeno models are known to be universal approximators and, in addition, a broad class of nonlinear systems can be exactly represented as a TS system. Three particular structures of large-scale TS models are considered: cascaded systems, distributed systems, and systems affected by unknown disturbances. The reader will find in-depth theoretic analysis accompanied by illustrative examples and simulations of real-world systems. Stability analysis of TS fuzzy systems is addressed in detail. The intended audience are graduate students and researchers both from academia and industry. For newcomers to the field, the book provides a concise introduction dynamic TS fuzzy models along with two methods to construct TS models for a given nonlinear system Many problems in decision making, monitoring, fault detection, and control require the knowledge of state variables and time-varying parameters that are not directly measured by sensors. In such situations, observers, or estimators, can be employed that use the measured input and output signals along with a dynamic model of the system in order to estimate the unknown states or parameters. An essential requirement in designing an observer is to guarantee the convergence of the estimates to the true values or at least to a small neighborhood around the true values. However, for nonlinear, large-scale, or time-varying systems, the design and tuning of an observer is generally complicated and involves large computational costs. This book provides a range of methods and tools to design observers for nonlinear systems represented by a special type of a dynamic nonlinear model - the Takagi-Sugeno (TS) fuzzy model. The TS model is a convex combination of affine linear models, which facilitates its stability analysis and observer design by using effective algorithms based on Lyapunov functions and linear matrix inequalities. Takagi-Sugeno models are known to be universal approximators and, in addition, a broad class of nonlinear systems can be exactly represented as a TS system. Three particular structures of large-scale TS models are considered: cascaded systems, distributed systems, and systems affected by unknown disturbances. The reader will find in-depth theoretic analysis accompanied by illustrative examples and simulations of real-world systems. Stability analysis of TS fuzzy systems is addressed in detail. The intended audience are graduate students and researchers both from academia and industry. For newcomers to the field, the book provides a concise introduction dynamic TS fuzzy models along with two methods to construct TS models for a given nonlinear system. For additional information, see the book website at dcsc.tudelft.nl/fuzzybook/.
Lingua: Inglese
Editore: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2010
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many problems in decision making, monitoring, fault detection, and control require the knowledge of state variables and time-varying parameters that are not directly measured by sensors. In such situations, observers, or estimators, can be employed that…use the measured input and output signals along with a dynamic model of the system in order to estimate the unknown states or parameters. An essential requirement in designing an observer is to guarantee the convergence of the estimates to the true values or at least to a small neighborhood around the true values. However, for nonlinear, large-scale, or time-varying systems, the design and tuning of an observer is generally complicated and involves large computational costs. This book provides a range of methods and tools to design observers for nonlinear systems represented by a special type of a dynamic nonlinear model -- the Takagi--Sugeno (TS) fuzzy model. The TS model is a convex combination of affine linear models, which facilitates its stability analysis and observer design by using effective algorithms based on Lyapunov functions and linear matrix inequalities. Takagi--Sugeno models are known to be universal approximators and, in addition, a broad class of nonlinear systems can be exactly represented as a TS system. Three particular structures of large-scale TS models are considered: cascaded systems, distributed systems, and systems affected by unknown disturbances. The reader will find in-depth theoretic analysis accompanied by illustrative examples and simulations of real-world systems. Stability analysis of TS fuzzy systems is addressed in detail. The intended audience are graduate students and researchers both from academia and industry. For newcomers to the field, the book provides a concise introduction dynamic TS fuzzy models along with two methods to construct TS models for a given nonlinear system.
Analysis and Synthesis of Nonlinear Control Systems: A Convex Optimisation Approach (Studies in Systems, Decision and Control)
Bernal, Miguel; Sala, Antonio; Lendek, Zsófia; Guerra, Thierry Marie
Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 367 di 378 - Studies in Systems, Decision and Control
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Analysis and Synthesis of Nonlinear Control Systems: A Convex Optimisation Approach (Studies in Systems, Decision and Control, 408)
Bernal, Miguel; Sala, Antonio; Lendek, Zsófia; Guerra, Thierry Marie
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 367 di 378 - Studies in Systems, Decision and Control
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Analysis and Synthesis of Nonlinear Control Systems: A Convex Optimisation Approach
Bernal, Miguel/ Sala, Antonio/ Lendek, Zsófia/ Guerra, Thierry Marie
Lingua: Inglese
Editore: Springer Nature, 2023
Serie: Libro 367 di 378 - Studies in Systems, Decision and Control
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Editore: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2010
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many problems in decision making, monitoring, fault detection, and control require the knowledge of state variables and time-varying parameters that are not directly measured by sensors. In such situations, observers, or estimators, can b…e employed that use the measured input and output signals along with a dynamic model of the system in order to estimate the unknown states or parameters. An essential requirement in designing an observer is to guarantee the convergence of the estimates to the true values or at least to a small neighborhood around the true values. However, for nonlinear, large-scale, or time-varying systems, the design and tuning of an observer is generally complicated and involves large computational costs. This book provides a range of methods and tools to design observers for nonlinear systems represented by a special type of a dynamic nonlinear model -- the Takagi--Sugeno (TS) fuzzy model. The TS model is a convex combination of affine linear models, which facilitates its stability analysis and observer design by using effective algorithms based on Lyapunov functions and linear matrix inequalities. Takagi--Sugeno models are known to be universal approximators and, in addition, a broad class of nonlinear systems can be exactly represented as a TS system. Three particular structures of large-scale TS models are considered: cascaded systems, distributed systems, and systems affected by unknown disturbances. The reader will find in-depth theoretic analysis accompanied by illustrative examples and simulations of real-world systems. Stability analysis of TS fuzzy systems is addressed in detail. The intended audience are graduate students and researchers both from academia and industry. For newcomers to the field, the book provides a concise introduction dynamic TS fuzzy models along with two methods to construct TS models for a given nonlinear system. 196 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many problems in decision making, monitoring, fault detection, and control require the knowledge of state variables and time-varying parameters that are not directly measured by sensors. In such situations, observers, or estimators…, can be employed that use the measured input and output signals along with a dynamic model of the system in order to estimate the unknown states or parameters. An essential requirement in designing an observer is to guarantee the convergence of the estimates to the true values or at least to a small neighborhood around the true values. However, for nonlinear, large-scale, or time-varying systems, the design and tuning of an observer is generally complicated and involves large computational costs. This book provides a range of methods and tools to design observers for nonlinear systems represented by a special type of a dynamic nonlinear model -- the Takagi--Sugeno (TS) fuzzy model. The TS model is a convex combination of affine linear models, which facilitates its stability analysis and observer design by using effective algorithms based on Lyapunov functions and linear matrix inequalities. Takagi--Sugeno models are known to be universal approximators and, in addition, a broad class of nonlinear systems can be exactly represented as a TS system. Three particular structures of large-scale TS models are considered: cascaded systems, distributed systems, and systems affected by unknown disturbances. The reader will find in-depth theoretic analysis accompanied by illustrative examples and simulations of real-world systems. Stability analysis of TS fuzzy systems is addressed in detail. The intended audience are graduate students and researchers both from academia and industry. For newcomers to the field, the book provides a concise introduction dynamic TS fuzzy models along with two methods to construct TS models for a given nonlinear system Many problems in decision making, monitoring, fault detection, and control require the knowledge of state variables and time-varying parameters that are not directly measured by sensors. In such situations, observers, or estimators, can be employed that use the measured input and output signals along with a dynamic model of the system in order to estimate the unknown states or parameters. An essential requirement in designing an observer is to guarantee the convergence of the estimates to the true values or at least to a small neighborhood around the true values. However, for nonlinear, large-scale, or time-varying systems, the design and tuning of an observer is generally complicated and involves large computational costs. This book provides a range of methods and tools to design observers for nonlinear systems represented by a special type of a dynamic nonlinear model - the Takagi-Sugeno (TS) fuzzy model. The TS model is a convex combination of affine linear models, which facilitates its stability analysis and observer design by using effective algorithms based on Lyapunov functions and linear matrix inequalities. Takagi-Sugeno models are known to be universal approximators and, in addition, a broad class of nonlinear systems can be exactly represented as a TS system. Three particular structures of large-scale TS models are considered: cascaded systems, distributed systems, and systems affected by unknown disturbances. The reader will find in-depth theoretic analysis accompanied by illustrative examples and simulations of real-world systems. Stability analysis of TS fuzzy systems is addressed in detail. The intended audience are graduate students and researchers both from academia and industry. For newcomers to the field, the book provides a concise introduction dynamic TS fuzzy models along with two methods to construct TS models for a given nonlinear system. For additional information, see the book website at dcsc.tudelft.nl/fuzzybook/ 208 pp. Englisch.
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. State of the art of designing fuzzy observersWritten by leading experts Provides a range of methods and tools to design observers for nonlinear systemsMany problems in decision making, monitoring, fault detection, an…d control requir.
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. State of the art of designing fuzzy observersWritten by leading experts Provides a range of methods and tools to design observers for nonlinear systemsMany problems in decision making, monitoring, fault detection, an…d control requir.
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Many problems in decision making, monitoring, fault detection, and control require the knowledge of state variables and time-varying parameters that are not directly measured by sensors. In such situations, observers, or estimators, ca…n be employed that use the measured input and output signals along with a dynamic model of the system in order to estimate the unknown states or parameters. An essential requirement in designing an observer is to guarantee the convergence of the estimates to the true values or at least to a small neighborhood around the true values. However, for nonlinear, large-scale, or time-varying systems, the design and tuning of an observer is generally complicated and involves large computational costs. This book provides a range of methods and tools to design observers for nonlinear systems represented by a special type of a dynamic nonlinear model -- the Takagi--Sugeno (TS) fuzzy model. The TS model is a convex combination of affine linear models, which facilitates its stability analysis and observer design by using effective algorithms based on Lyapunov functions and linear matrix inequalities. Takagi--Sugeno models are known to be universal approximators and, in addition, a broad class of nonlinear systems can be exactly represented as a TS system. Three particular structures of large-scale TS models are considered: cascaded systems, distributed systems, and systems affected by unknown disturbances. The reader will find in-depth theoretic analysis accompanied by illustrative examples and simulations of real-world systems. Stability analysis of TS fuzzy systems is addressed in detail. The intended audience are graduate students and researchers both from academia and industry. For newcomers to the field, the book provides a concise introduction dynamic TS fuzzy models along with two methods to construct TS models for a given nonlinear systemSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch.
Analysis and Synthesis of Nonlinear Control Systems
Bernal, Miguel|Sala, Antonio|Lendek, Zsófia|Guerra, Thierry Marie
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2023
Serie: Libro 367 di 378 - Studies in Systems, Decision and Control
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents a modern perspective on the modelling, analysis, and synthesis ideas behind convex-optimisation-based control of nonlinear systems: it embeds them in models with convex structures.Analysis and Synt…hesis of Nonlinea.
Analysis and Synthesis of Nonlinear Control Systems
Bernal, Miguel|Sala, Antonio|Lendek, Zsófia|Guerra, Thierry Marie
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2022
Serie: Libro 367 di 378 - Studies in Systems, Decision and Control
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents a modern perspective on the modelling, analysis, and synthesis ideas behind convex-optimisation-based control of nonlinear systems: it embeds them in models with convex structures.Analysi…s and Synthesis of Nonlinea.
Analysis and Synthesis of Nonlinear Control Systems: A Convex Optimisation Approach (Studies in Systems, Decision and Control)
Bernal, Miguel; Sala, Antonio; Lendek, Zsófia; Guerra, Thierry Marie
Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 367 di 378 - Studies in Systems, Decision and Control
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Analysis and Synthesis of Nonlinear Control Systems: A Convex Optimisation Approach (Studies in Systems, Decision and Control, 408)
Bernal, Miguel; Sala, Antonio; Lendek, Zsófia; Guerra, Thierry Marie
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 367 di 378 - Studies in Systems, Decision and Control
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Analysis and Synthesis of Nonlinear Control Systems: A Convex Optimisation Approach (Studies in Systems, Decision and Control)
Bernal, Miguel; Sala, Antonio; Lendek, Zsófia; Guerra, Thierry Marie
Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 367 di 378 - Studies in Systems, Decision and Control
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Analysis and Synthesis of Nonlinear Control Systems: A Convex Optimisation Approach (Studies in Systems, Decision and Control, 408)
Bernal, Miguel; Sala, Antonio; Lendek, Zsófia; Guerra, Thierry Marie
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 367 di 378 - Studies in Systems, Decision and Control
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