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Ajouter le résultat dans votre panier Faire une suggestion Affiner la recherche Interroger des sources externesRobust Filtering for Uncertain Systems / Huijun Gao (2014)
Titre : Robust Filtering for Uncertain Systems : A Parameter-Dependent Approach Type de document : texte imprime Auteurs : Huijun Gao ; Li, Xianwei Editeur : Cham : Springer Année de publication : 2014 Collection : (Communications and Control Engineering, ISSN 0178-5354) Importance : (XVI-253 p.) Présentation : ill. en noir et en coul., couv. ill en coul. Format : 25 cm ISBN/ISSN/EAN : 978-3-319-05902-0 Note générale : Index Langues : Anglais Mots-clés : Engineering System theory Control engineering Systems theory Control Systems Theory, Control Signal,Image and Speech Processing Control and Systems Theory Index. décimale : 6298 Résumé :
This monograph provides the reader with a systematic treatment of robust filter design, a key issue in systems, control and signal processing, because of the fact that the inevitable presence of uncertainty in system and signal models often degrades the filtering performance and may even cause instability. The methods described are therefore not subject to the rigorous assumptions of traditional Kalman filtering. The monograph is concerned with robust filtering for various dynamical systems with parametric uncertainties and focuses on parameter-dependent approaches to filter design. Classical filtering schemes, like H2 filtering and H filtering, are addressed and emerging issues such as robust filtering with constraints on communication channels and signal frequency characteristics are discussed. The text features:
- design approaches to robust filters arranged according to varying complexity level and emphasizing robust filtering in the parameter-dependent framework for the first time;
- guidance on the use of special realistic phenomena or factors to describe problems more accurately and to improve filtering performance;
- a unified linear matrix inequality formulation of design approaches for easy and effective filter design;
- demonstration of the techniques of matrix decoupling technique, the generalized Kalman‒Yakubovich‒Popov lemma, the free weighting matrix technique and the delay modelling approach, in robust filtering;
- numerous easy-to-follow simulation examples, graphical and tabular illustrations to help the reader understand the filter design approaches developed; and
- an account of emerging issues on robust filtering for research to inspire future investigation.
Robust Filtering for Uncertain Systems will be of interest to academic researchers specializing in linear, robust and optimal control and estimation and to practitioners working in tracking and network control or signal filtering, detection and estimation. Graduate students learning control and systems theory, signal processing or applied mathematics will also find the book to be a valuable resource.En ligne : https://www.amazon.fr/Robust-Filtering-Uncertain-Systems-Parameter-Dependent/dp/ [...] Permalink : ./index.php?lvl=notice_display&id=9614 Robust Filtering for Uncertain Systems : A Parameter-Dependent Approach [texte imprime] / Huijun Gao ; Li, Xianwei . - Cham : Springer, 2014 . - (XVI-253 p.) : ill. en noir et en coul., couv. ill en coul. ; 25 cm. - ((Communications and Control Engineering, ISSN 0178-5354)) .
ISBN : 978-3-319-05902-0
Index
Langues : Anglais
Mots-clés : Engineering System theory Control engineering Systems theory Control Systems Theory, Control Signal,Image and Speech Processing Control and Systems Theory Index. décimale : 6298 Résumé :
This monograph provides the reader with a systematic treatment of robust filter design, a key issue in systems, control and signal processing, because of the fact that the inevitable presence of uncertainty in system and signal models often degrades the filtering performance and may even cause instability. The methods described are therefore not subject to the rigorous assumptions of traditional Kalman filtering. The monograph is concerned with robust filtering for various dynamical systems with parametric uncertainties and focuses on parameter-dependent approaches to filter design. Classical filtering schemes, like H2 filtering and H filtering, are addressed and emerging issues such as robust filtering with constraints on communication channels and signal frequency characteristics are discussed. The text features:
- design approaches to robust filters arranged according to varying complexity level and emphasizing robust filtering in the parameter-dependent framework for the first time;
- guidance on the use of special realistic phenomena or factors to describe problems more accurately and to improve filtering performance;
- a unified linear matrix inequality formulation of design approaches for easy and effective filter design;
- demonstration of the techniques of matrix decoupling technique, the generalized Kalman‒Yakubovich‒Popov lemma, the free weighting matrix technique and the delay modelling approach, in robust filtering;
- numerous easy-to-follow simulation examples, graphical and tabular illustrations to help the reader understand the filter design approaches developed; and
- an account of emerging issues on robust filtering for research to inspire future investigation.
Robust Filtering for Uncertain Systems will be of interest to academic researchers specializing in linear, robust and optimal control and estimation and to practitioners working in tracking and network control or signal filtering, detection and estimation. Graduate students learning control and systems theory, signal processing or applied mathematics will also find the book to be a valuable resource.En ligne : https://www.amazon.fr/Robust-Filtering-Uncertain-Systems-Parameter-Dependent/dp/ [...] Permalink : ./index.php?lvl=notice_display&id=9614 Réservation
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Electronique appliquée à la transmission de l'information Hervé, Jacques La régulation industrielle Flaus, Jean-Marie Commande et diagnostic des systémes dynamiques Toscano, Rosario Commande numérique de systèmes dynamique. Tome 1 Longchamp, Roland Réseaux de mobiles & réseaux sans fil Al Agha, Khaldoun Raspberry Pi Tavernier, Christian Aucun avis, veuillez vous identifier pour ajouter le vôtre !
Titre : Stabilization of switched nonlinear systems with unstable modes Type de document : texte imprime Auteurs : Hao Yang ; Vincent Cocquempot Bin Jiang Editeur : Cham : Springer Année de publication : cop. 2014 Collection : Studies in Systems, Decision and Control num. 9 Importance : (XV, 187 p.) Présentation : ill. en coul. et noir et blanc Format : 24 cm ISBN/ISSN/EAN : 978-3-319-07883-0 Note générale : Bibliogr. (p. 180-182). Index. Langues : Anglais Mots-clés : Nonlinear systems Engineering Control Systems Theory,Aerospace Technology and Astronautics,Contrôle Sciences spatiales Systèmes, Théorie des Résumé :
This book provides its reader with a good understanding of the stabilization of switched nonlinear systems (SNS), systems that are of practical use in diverse situations: design of fault-tolerant systems in space- and aircraft; traffic control; and heat propagation control of semiconductor power chips. The practical background is emphasized throughout the book; interesting practical examples frequently illustrate the theoretical results with aircraft and spacecraft given particular prominence. Stabilization of Switched Nonlinear Systems with Unstable Modes treats several different subclasses of SNS according to the characteristics of the individual system (time-varying and distributed parameters, for example), the state composition of individual modes and the degree and distribution of instability in its various modes. Achievement and maintenance of stability across the system as a whole is bolstered by trading off between individual modes which may be either stable or unstable or by exploiting areas of partial stability within all the unstable modes. The book can be used as a reference for academic research on switched systems or used by graduate students of control theory and engineering. Readers should have studied linear and nonlinear system theory and have some knowledge of switched and hybrid systems to get the most from this monograph. [Source : d'après la 4e de couverture]
Note de contenu :
1. Introduction
2. Switched nonlinear systems with partial unstable modes
3. Switched nonlinear systems with all unstable modes
4. Switched nonlienar systems with varying states
5. Switched nonlinear systems with time-varying parameters
6. Switched nonlinear systems with distributed parameters
7. Conclusion and future research directionsEn ligne : https://www.amazon.fr/Stabilization-Switched-Nonlinear-Systems-Unstable-ebook/dp [...] Permalink : ./index.php?lvl=notice_display&id=9617 Stabilization of switched nonlinear systems with unstable modes [texte imprime] / Hao Yang ; Vincent Cocquempot Bin Jiang . - Cham : Springer, cop. 2014 . - (XV, 187 p.) : ill. en coul. et noir et blanc ; 24 cm. - (Studies in Systems, Decision and Control; 9) .
ISBN : 978-3-319-07883-0
Bibliogr. (p. 180-182). Index.
Langues : Anglais
Mots-clés : Nonlinear systems Engineering Control Systems Theory,Aerospace Technology and Astronautics,Contrôle Sciences spatiales Systèmes, Théorie des Résumé :
This book provides its reader with a good understanding of the stabilization of switched nonlinear systems (SNS), systems that are of practical use in diverse situations: design of fault-tolerant systems in space- and aircraft; traffic control; and heat propagation control of semiconductor power chips. The practical background is emphasized throughout the book; interesting practical examples frequently illustrate the theoretical results with aircraft and spacecraft given particular prominence. Stabilization of Switched Nonlinear Systems with Unstable Modes treats several different subclasses of SNS according to the characteristics of the individual system (time-varying and distributed parameters, for example), the state composition of individual modes and the degree and distribution of instability in its various modes. Achievement and maintenance of stability across the system as a whole is bolstered by trading off between individual modes which may be either stable or unstable or by exploiting areas of partial stability within all the unstable modes. The book can be used as a reference for academic research on switched systems or used by graduate students of control theory and engineering. Readers should have studied linear and nonlinear system theory and have some knowledge of switched and hybrid systems to get the most from this monograph. [Source : d'après la 4e de couverture]
Note de contenu :
1. Introduction
2. Switched nonlinear systems with partial unstable modes
3. Switched nonlinear systems with all unstable modes
4. Switched nonlienar systems with varying states
5. Switched nonlinear systems with time-varying parameters
6. Switched nonlinear systems with distributed parameters
7. Conclusion and future research directionsEn ligne : https://www.amazon.fr/Stabilization-Switched-Nonlinear-Systems-Unstable-ebook/dp [...] Permalink : ./index.php?lvl=notice_display&id=9617 Réservation
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Titre : System identification and adaptive control : theory and applications of the neurofuzzy and fuzzy cognitive network models Type de document : texte imprime Auteurs : Yiannis Boutalis ; Theodore Kottas Dimitrios Theodoridis Editeur : Cham : Springer Année de publication : 2014 Collection : (Advances in Industrial Control, ISSN 1430-9491) Importance : (XII-313 p.) Présentation : ill Format : 24 cm ISBN/ISSN/EAN : 978-3-319-06363-8 Note générale : Bibliogr. (p. 306-309). Index. Langues : Anglais Mots-clés : System identification Adaptive control systems Résumé :
Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of "concepts" and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems.All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in: * contemporary power generation; * process control and * conventional benchmarking problems. Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.En ligne : https://www.amazon.fr/System-Identification-Adaptive-Control-Applications/dp/331 [...] Permalink : ./index.php?lvl=notice_display&id=9618 System identification and adaptive control : theory and applications of the neurofuzzy and fuzzy cognitive network models [texte imprime] / Yiannis Boutalis ; Theodore Kottas Dimitrios Theodoridis . - Cham : Springer, 2014 . - (XII-313 p.) : ill ; 24 cm. - ((Advances in Industrial Control, ISSN 1430-9491)) .
ISBN : 978-3-319-06363-8
Bibliogr. (p. 306-309). Index.
Langues : Anglais
Mots-clés : System identification Adaptive control systems Résumé :
Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of "concepts" and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems.All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in: * contemporary power generation; * process control and * conventional benchmarking problems. Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.En ligne : https://www.amazon.fr/System-Identification-Adaptive-Control-Applications/dp/331 [...] Permalink : ./index.php?lvl=notice_display&id=9618 Réservation
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Titre : Stabilization of control Fractional order systems : a sliding mode approach Type de document : texte imprime Auteurs : Bijnan Bandyopadhyay ; Shyam Kamal Editeur : Cham : Springer Année de publication : cop. 2014 Collection : Lecture Notes Electrical Engeineering,317 Importance : 200 p. Présentation : ill. en coul. et noir et blanc Format : 24 cm ISBN/ISSN/EAN : 978-3-319-08620-0 Note générale : Index Langues : Anglais Mots-clés : Ingénierie Systèmes, Théorie des Intelligence computationnelle Commande automatique Index. décimale : 6298 Résumé :
In the last two decades fractional differential equations have been used more frequently in physics, signal processing, fluid mechanics, viscoelasticity, mathematical biology, electro chemistry and many others. It opens a new and more realistic way to capture memory dependent phenomena and irregularities inside the systems by using more sophisticated mathematical analysis.
This monograph is based on the authors’ work on stabilization and control design for continuous and discrete fractional order systems. The initial two chapters and some parts of the third chapter are written in tutorial fashion, presenting all the basic concepts of fractional order system and a brief overview of sliding mode control of fractional order systems. The other parts contain deal with robust finite time stability of fractional order systems, integral sliding mode control of fractional order systems, co-operative control of multi-agent systems modeled as fractional differential equation, robust stabilization of discrete fractional order systems, high performance control using soft variable structure control and contraction analysis by integer and fractional order infinitesimal variations.En ligne : https://www.amazon.fr/Stabilization-Control-Fractional-Order-Systems-ebook/dp/B0 [...] Permalink : ./index.php?lvl=notice_display&id=9670 Stabilization of control Fractional order systems : a sliding mode approach [texte imprime] / Bijnan Bandyopadhyay ; Shyam Kamal . - Cham : Springer, cop. 2014 . - 200 p. : ill. en coul. et noir et blanc ; 24 cm. - (Lecture Notes Electrical Engeineering,317) .
ISBN : 978-3-319-08620-0
Index
Langues : Anglais
Mots-clés : Ingénierie Systèmes, Théorie des Intelligence computationnelle Commande automatique Index. décimale : 6298 Résumé :
In the last two decades fractional differential equations have been used more frequently in physics, signal processing, fluid mechanics, viscoelasticity, mathematical biology, electro chemistry and many others. It opens a new and more realistic way to capture memory dependent phenomena and irregularities inside the systems by using more sophisticated mathematical analysis.
This monograph is based on the authors’ work on stabilization and control design for continuous and discrete fractional order systems. The initial two chapters and some parts of the third chapter are written in tutorial fashion, presenting all the basic concepts of fractional order system and a brief overview of sliding mode control of fractional order systems. The other parts contain deal with robust finite time stability of fractional order systems, integral sliding mode control of fractional order systems, co-operative control of multi-agent systems modeled as fractional differential equation, robust stabilization of discrete fractional order systems, high performance control using soft variable structure control and contraction analysis by integer and fractional order infinitesimal variations.En ligne : https://www.amazon.fr/Stabilization-Control-Fractional-Order-Systems-ebook/dp/B0 [...] Permalink : ./index.php?lvl=notice_display&id=9670 Réservation
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La commande prédictive Richalet, Jacques Raspberry Pi Tavernier, Christian Commande numérique de systèmes dynamique. Tome 1 Longchamp, Roland La commande multivariable Bérard, Caroline Pratique de la commande prédictive Richalet, Jacques Robust Filtering for Uncertain Systems Gao, Huijun Aucun avis, veuillez vous identifier pour ajouter le vôtre !
