Guanrong Chen
                        
                                        
                        
    
    
            
            
            
                                                                
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                    
            
        
                                                
                Linear Systems and Optimal Control
Buch
            A knowledge of linear systems provides a firm foundation for the study of optimal control theory and many areas of system theory and signal processing. State-space techniques developed since the early sixties have been proved to be very effective. The main objective of this book is to present a brief and somewhat complete investigation on the theory of linear systems, with emphasis on these techniques, in both continuous-time and discrete-time settings, and to demonstrate an application to the study of elementary (linear and nonlinear) optimal control theory. An essential feature of the state-space approach is that both time-varying and time-…
        
            Mehr
        
        
            
                
                    
                        
                    
            
        
    
                                    Beschreibung
                        A knowledge of linear systems provides a firm foundation for the study of optimal control theory and many areas of system theory and signal processing. State-space techniques developed since the early sixties have been proved to be very effective. The main objective of this book is to present a brief and somewhat complete investigation on the theory of linear systems, with emphasis on these techniques, in both continuous-time and discrete-time settings, and to demonstrate an application to the study of elementary (linear and nonlinear) optimal control theory. An essential feature of the state-space approach is that both time-varying and time-invariant systems are treated systematically. When time-varying systems are considered, another important subject that depends very much on the state-space formulation is perhaps real-time filtering, prediction, and smoothing via the Kalman filter. This subject is treated in our monograph entitled Kalman Filtering with Real-Time Applications published in this Springer Series in Information Sciences (Volume 17). For time-invariant systems, the recent frequency domain approaches using the techniques of Adamjan, Arov, and Krein (also known as AAK), balanced realization, and oo H theory via Nevanlinna-Pick interpolation seem very promising, and this will be studied in our forthcoming monograph entitled Mathematical Ap proach to Signal Processing and System Theory. The present elementary treatise on linear system theory should provide enough engineering and mathe of these two subjects.
                    
                CHF 86.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
                    V103: 
                    Folgt in ca. 5 Arbeitstagen
                
            Produktdetails
Weitere Autoren: Chui, Charles K.
- ISBN: 978-3-642-64787-1
- EAN: 9783642647871
- Produktnummer: 16421497
- Verlag: Springer Berlin Heidelberg
- Sprache: Englisch
- Erscheinungsjahr: 2014
- Seitenangabe: 168 S.
- Masse: H23.6 cm x B15.4 cm x D1.7 cm 267 g
- Auflage: Softcover reprint of the original 1st ed. 1989
- Abbildungen: Paperback
- Gewicht: 267
57 weitere Werke von Guanrong Chen:
                                    Ebook (PDF Format)
                                
                            
                                                            CHF 295.00
                            
                                                                
            
                                    Ebook (PDF Format)
                                
                            
                                                            CHF 236.00
                            
                                                                
            Bewertungen
0 von 0 Bewertungen
Anmelden
                                                    Keine Bewertungen gefunden. Seien Sie der Erste und teilen Sie Ihre Erkenntnisse mit anderen.
                                            
                
                                                                 
                                                                        