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Predictive filtering for microsatellite control system /

Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contai...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Cao, Lu (Autor), Chen, Xiaoqian (Autor), Xiao, Bing (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; San Diego, CA : Academic Press, [2021]
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Predictive filtering for microsatellite control system /  |c Lu Cao, Xiaoqian Chen, Bing Xiao. 
264 1 |a London ;  |a San Diego, CA :  |b Academic Press,  |c [2021] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Front Cover -- Predictive Filtering for Microsatellite Control System -- Copyright -- Contents -- List of figures -- List of tables -- List of algorithms -- Biography -- Lu Cao -- Xiaoqian Chen -- Bing Xiao -- Preface -- Acknowledgments -- Symbols and abbreviations -- 1 Overview -- 1.1 Introduction -- 1.2 Microsatellite control system and its design -- 1.2.1 Microsatellite control system -- 1.2.2 Microsatellite control system design -- 1.3 Attitude and orbit determination subsystem design -- 1.3.1 Sensors for microsatellite control system -- 1.3.2 State estimation method design 
505 8 |a 1.3.2.1 Observer-based state estimation -- 1.3.2.2 Filtering-based state estimation -- 1.4 Review of nonlinear filtering -- 1.4.1 Nonlinear Kalman filtering -- 1.4.1.1 Extended Kalman filtering -- 1.4.1.2 Sigma-point Kalman filtering -- 1.4.2 Predictive filtering -- 1.4.3 Particle filtering -- 1.4.4 Robust filtering -- 1.4.5 Nonlinear filters applied to satellite control system -- 1.5 Motivations for predictive filtering for microsatellite control systems -- 1.6 What is in this book -- Part I Preliminaries -- 2 Fundamental of predictive filtering -- 2.1 Introduction 
505 8 |a 2.2 Basic probability of random vector -- 2.2.1 Random vector -- 2.2.2 Mean vector -- 2.2.3 Covariance matrix -- 2.2.4 Normal distribution random vector -- 2.2.5 White noise process -- 2.3 Preliminary definitions and lemma -- 2.4 Desired properties of filter -- 2.5 Basic theory of predictive filtering -- 2.5.1 Derivation of predictive filter -- 2.5.2 Estimation performance of predictive filter -- 2.5.2.1 Estimation performance of modeling error -- 2.5.2.2 State estimation performance of predictive filter -- 2.6 Summary -- 3 Modeling of microsatellite control system -- 3.1 Introduction 
505 8 |a 3.2 Definition of coordinate frames -- 3.3 Modeling of single microsatellite control system -- 3.3.1 Mathematical model of attitude control system -- 3.3.2 Mathematical model of orbit control system -- 3.4 Modeling of microsatellite formation flying control system -- 3.4.1 Definition of dimensionless expressions -- 3.4.2 Assumption of small eccentricity -- 3.4.3 J2 and atmospheric drag perturbations -- 3.4.4 Orbit propagation of the chief microsatellite -- 3.4.5 Effect of perturbation forces on relative motion -- 3.4.5.1 Effect of the J2 perturbation on relative motion 
505 8 |a 3.4.5.2 Effect of the drag perturbation on relative motion -- 3.4.6 System equation of relative motion -- 3.4.6.1 Calculation of orbital angular velocity -- 3.4.6.2 Summary of the relative motion equation -- 3.4.6.3 Verification of the established relative motion equation -- 3.4.7 Modeling of microsatellite formation flying control system -- 3.4.7.1 Modeling of relative position control system -- 3.4.7.2 Modeling of relative attitude control system -- 3.5 Modeling of distributed microsatellite attitude control system -- 3.6 Summary 
520 |a Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems. 
588 0 |a Online resource; title from digital title page (viewed on February 25, 2021). 
650 0 |a Microspacecraft. 
650 0 |a Signal processing  |x Digital techniques. 
650 6 |a Petits v�ehicules spatiaux.  |0 (CaQQLa)201-0359818 
650 6 |a Traitement du signal  |x Techniques num�eriques.  |0 (CaQQLa)201-0087536 
650 7 |a Microspacecraft  |2 fast  |0 (OCoLC)fst01020095 
650 7 |a Signal processing  |x Digital techniques  |2 fast  |0 (OCoLC)fst01118285 
700 1 |a Chen, Xiaoqian,  |e author. 
700 1 |a Xiao, Bing,  |e author. 
776 0 8 |i Print version:  |z 9780128218662 
776 0 8 |i Print version:  |z 0128218657  |z 9780128218655  |w (OCoLC)1135664316 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128218655  |z Texto completo