Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Aircraft and rotorcraft system identification [[electronic resource] ] : engineering methods with flight-test examples / / Mark B. Tischler, Robert K. Remple
| Aircraft and rotorcraft system identification [[electronic resource] ] : engineering methods with flight-test examples / / Mark B. Tischler, Robert K. Remple |
| Autore | Tischler Mark B (Mark Brian), <1957-> |
| Pubbl/distr/stampa | Reston, Va., : American Institute of Aeronautics and Astronautics, c2006 |
| Descrizione fisica | 1 online resource (562 p.) |
| Disciplina | 629.132 |
| Altri autori (Persone) | RempleRobert K |
| Collana | AIAA education series |
| Soggetto topico |
Helicopters - Aerodynamics - Computer simulation
Propeller-driven aircraft - Computer simulation Helicopters - Flight testing Rotors - Dynamics - Computer simulation Helicopter flight simulators Systems engineering - Mathematics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-60086-135-0
1-60086-007-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover ; Title; Copyright ; Table of Contents; List of Figures; List of Tables; Nomenclature; Acronyms; Preface; Chapter 1. Introduction and Brief History of System Identification in the Frequency Domain; Chapter 2. Frequency-Response Method for System Identification; Chapter 3. Description of Example Cases; Chapter 4. Overview of CIFER Software; Chapter 5. Collection of Time-History Data; Chapter 6. Data Consistency and Reconstruction; Chapter 7. Single-Input / Single-Output Frequency-Response Identification Theory
Chapter 8. Bare-Airframe Identification from Data with Feedback Regulation ActiveChapter 9. Multi-Input Identification Techniques; Chapter 10. Composite Windowing; Chapter 11. Transfer-Function Modeling; Chapter 12. State-Space Model Identification-Basic Concepts; Chapter 13. State-Space Model Identification:Physical Model Structures; Chapter 14. Time-Domain Verification of Identification Models; Chapter 15. Higher-Order Modeling of Coupled Rotor/Fuselage Dynamics; Appendix A: Summary of Suggested Guidelines; References; Index; Supporting Materials |
| Record Nr. | UNINA-9910454447103321 |
Tischler Mark B (Mark Brian), <1957->
|
||
| Reston, Va., : American Institute of Aeronautics and Astronautics, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Aircraft and rotorcraft system identification [[electronic resource] ] : engineering methods with flight-test examples / / Mark B. Tischler, Robert K. Remple
| Aircraft and rotorcraft system identification [[electronic resource] ] : engineering methods with flight-test examples / / Mark B. Tischler, Robert K. Remple |
| Autore | Tischler Mark B (Mark Brian), <1957-> |
| Pubbl/distr/stampa | Reston, Va., : American Institute of Aeronautics and Astronautics, c2006 |
| Descrizione fisica | 1 online resource (562 p.) |
| Disciplina | 629.132 |
| Altri autori (Persone) | RempleRobert K |
| Collana | AIAA education series |
| Soggetto topico |
Helicopters - Aerodynamics - Computer simulation
Propeller-driven aircraft - Computer simulation Helicopters - Flight testing Rotors - Dynamics - Computer simulation Helicopter flight simulators Systems engineering - Mathematics |
| ISBN |
1-60086-135-0
1-60086-007-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover ; Title; Copyright ; Table of Contents; List of Figures; List of Tables; Nomenclature; Acronyms; Preface; Chapter 1. Introduction and Brief History of System Identification in the Frequency Domain; Chapter 2. Frequency-Response Method for System Identification; Chapter 3. Description of Example Cases; Chapter 4. Overview of CIFER Software; Chapter 5. Collection of Time-History Data; Chapter 6. Data Consistency and Reconstruction; Chapter 7. Single-Input / Single-Output Frequency-Response Identification Theory
Chapter 8. Bare-Airframe Identification from Data with Feedback Regulation ActiveChapter 9. Multi-Input Identification Techniques; Chapter 10. Composite Windowing; Chapter 11. Transfer-Function Modeling; Chapter 12. State-Space Model Identification-Basic Concepts; Chapter 13. State-Space Model Identification:Physical Model Structures; Chapter 14. Time-Domain Verification of Identification Models; Chapter 15. Higher-Order Modeling of Coupled Rotor/Fuselage Dynamics; Appendix A: Summary of Suggested Guidelines; References; Index; Supporting Materials |
| Record Nr. | UNINA-9910782757703321 |
|
Tischler Mark B (Mark Brian), <1957->
|
||
| Reston, Va., : American Institute of Aeronautics and Astronautics, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Identification of physical systems : applications to condition monitoring, fault diagnosis, softsensor, and controller design / / Rajamani Doraiswami, Chris Diduch and Maryhelen Stevenson
| Identification of physical systems : applications to condition monitoring, fault diagnosis, softsensor, and controller design / / Rajamani Doraiswami, Chris Diduch and Maryhelen Stevenson |
| Autore | Doraiswami Rajamani |
| Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom : , : John Wiley & Sons, , 2014 |
| Descrizione fisica | 1 online resource (538 p.) |
| Disciplina | 620.001/1 |
| Soggetto topico |
Systems engineering
Systems engineering - Mathematics |
| ISBN |
1-118-53649-5
1-118-53648-7 1-118-53650-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
IDENTIFICATION OF PHYSICAL SYSTEMS; Contents; Preface; Nomenclature; 1 Modeling of Signals and Systems; 1.1 Introduction; 1.2 Classification of Signals; 1.2.1 Deterministic and Random Signals; 1.2.2 Bounded and Unbounded Signal; 1.2.3 Energy and Power Signals; 1.2.4 Causal, Non-causal, and Anti-causal Signals; 1.2.5 Causal, Non-causal, and Anti-causal Systems; 1.3 Model of Systems and Signals; 1.3.1 Time-Domain Model; 1.3.2 Frequency-Domain Model; 1.4 Equivalence of Input-Output and State-Space Models; 1.4.1 State-Space and Transfer Function Model
1.4.2 Time-Domain Expression for the Output Response1.4.3 State-Space and the Difference Equation Model; 1.4.4 Observer Canonical Form; 1.4.5 Characterization of the Model; 1.4.6 Stability of (Discrete-Time) Systems; 1.4.7 Minimum Phase System; 1.4.8 Pole-Zero Locations and the Output Response; 1.5 Deterministic Signals; 1.5.1 Transfer Function Model; 1.5.2 Difference Equation Model; 1.5.3 State-Space Model; 1.5.4 Expression for an Impulse Response; 1.5.5 Periodic Signal; 1.5.6 Periodic Impulse Train; 1.5.7 A Finite Duration Signal; 1.5.8 Model of a Class of All Signals 1.5.9 Examples of Deterministic Signals1.6 Introduction to Random Signals; 1.6.1 Stationary Random Signal; 1.6.2 Joint PDF and Statistics of Random Signals; 1.6.3 Ergodic Process; 1.7 Model of Random Signals; 1.7.1 White Noise Process; 1.7.2 Colored Noise; 1.7.3 Model of a Random Waveform; 1.7.4 Classification of the Random Waveform; 1.7.5 Frequency Response and Pole-Zero Locations; 1.7.6 Illustrative Examples of Filters; 1.7.7 Illustrative Examples of Random Signals; 1.7.8 Pseudo Random Binary Sequence (PRBS); 1.8 Model of a System with Disturbance and Measurement Noise 1.8.1 Input-Output Model of the System1.8.2 State-Space Model of the System; 1.8.3 Illustrative Examples in Integrated System Model; 1.9 Summary; References; Further Readings; 2 Characterization of Signals: Correlation and Spectral Density; 2.1 Introduction; 2.2 Definitions of Auto- and Cross-Correlation (and Covariance); 2.2.1 Properties of Correlation; 2.2.2 Normalized Correlation and Correlation Coefficient; 2.3 Spectral Density: Correlation in the Frequency Domain; 2.3.1 Z-transform of the Correlation Function; 2.3.2 Expressions for Energy and Power Spectral Densities 2.4 Coherence Spectrum2.5 Illustrative Examples in Correlation and Spectral Density; 2.5.1 Deterministic Signals: Correlation and Spectral Density; 2.5.2 Random Signals: Correlation and Spectral Density; 2.6 Input-Output Correlation and Spectral Density; 2.6.1 Generation of Random Signal from White Noise; 2.6.2 Identification of Non-Parametric Model of a System; 2.6.3 Identification of a Parametric Model of a Random Signal; 2.7 Illustrative Examples: Modeling and Identification; 2.8 Summary; 2.9 Appendix; References; 3 Estimation Theory; 3.1 Overview 3.2 Map Relating Measurement and the Parameter |
| Record Nr. | UNINA-9910140271003321 |
|
Doraiswami Rajamani
|
||
| Chichester, West Sussex, United Kingdom : , : John Wiley & Sons, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Identification of physical systems : applications to condition monitoring, fault diagnosis, softsensor, and controller design / / Rajamani Doraiswami, Chris Diduch and Maryhelen Stevenson
| Identification of physical systems : applications to condition monitoring, fault diagnosis, softsensor, and controller design / / Rajamani Doraiswami, Chris Diduch and Maryhelen Stevenson |
| Autore | Doraiswami Rajamani |
| Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom : , : John Wiley & Sons, , 2014 |
| Descrizione fisica | 1 online resource (538 p.) |
| Disciplina | 620.001/1 |
| Soggetto topico |
Systems engineering
Systems engineering - Mathematics |
| ISBN |
1-118-53649-5
1-118-53648-7 1-118-53650-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
IDENTIFICATION OF PHYSICAL SYSTEMS; Contents; Preface; Nomenclature; 1 Modeling of Signals and Systems; 1.1 Introduction; 1.2 Classification of Signals; 1.2.1 Deterministic and Random Signals; 1.2.2 Bounded and Unbounded Signal; 1.2.3 Energy and Power Signals; 1.2.4 Causal, Non-causal, and Anti-causal Signals; 1.2.5 Causal, Non-causal, and Anti-causal Systems; 1.3 Model of Systems and Signals; 1.3.1 Time-Domain Model; 1.3.2 Frequency-Domain Model; 1.4 Equivalence of Input-Output and State-Space Models; 1.4.1 State-Space and Transfer Function Model
1.4.2 Time-Domain Expression for the Output Response1.4.3 State-Space and the Difference Equation Model; 1.4.4 Observer Canonical Form; 1.4.5 Characterization of the Model; 1.4.6 Stability of (Discrete-Time) Systems; 1.4.7 Minimum Phase System; 1.4.8 Pole-Zero Locations and the Output Response; 1.5 Deterministic Signals; 1.5.1 Transfer Function Model; 1.5.2 Difference Equation Model; 1.5.3 State-Space Model; 1.5.4 Expression for an Impulse Response; 1.5.5 Periodic Signal; 1.5.6 Periodic Impulse Train; 1.5.7 A Finite Duration Signal; 1.5.8 Model of a Class of All Signals 1.5.9 Examples of Deterministic Signals1.6 Introduction to Random Signals; 1.6.1 Stationary Random Signal; 1.6.2 Joint PDF and Statistics of Random Signals; 1.6.3 Ergodic Process; 1.7 Model of Random Signals; 1.7.1 White Noise Process; 1.7.2 Colored Noise; 1.7.3 Model of a Random Waveform; 1.7.4 Classification of the Random Waveform; 1.7.5 Frequency Response and Pole-Zero Locations; 1.7.6 Illustrative Examples of Filters; 1.7.7 Illustrative Examples of Random Signals; 1.7.8 Pseudo Random Binary Sequence (PRBS); 1.8 Model of a System with Disturbance and Measurement Noise 1.8.1 Input-Output Model of the System1.8.2 State-Space Model of the System; 1.8.3 Illustrative Examples in Integrated System Model; 1.9 Summary; References; Further Readings; 2 Characterization of Signals: Correlation and Spectral Density; 2.1 Introduction; 2.2 Definitions of Auto- and Cross-Correlation (and Covariance); 2.2.1 Properties of Correlation; 2.2.2 Normalized Correlation and Correlation Coefficient; 2.3 Spectral Density: Correlation in the Frequency Domain; 2.3.1 Z-transform of the Correlation Function; 2.3.2 Expressions for Energy and Power Spectral Densities 2.4 Coherence Spectrum2.5 Illustrative Examples in Correlation and Spectral Density; 2.5.1 Deterministic Signals: Correlation and Spectral Density; 2.5.2 Random Signals: Correlation and Spectral Density; 2.6 Input-Output Correlation and Spectral Density; 2.6.1 Generation of Random Signal from White Noise; 2.6.2 Identification of Non-Parametric Model of a System; 2.6.3 Identification of a Parametric Model of a Random Signal; 2.7 Illustrative Examples: Modeling and Identification; 2.8 Summary; 2.9 Appendix; References; 3 Estimation Theory; 3.1 Overview 3.2 Map Relating Measurement and the Parameter |
| Record Nr. | UNINA-9910820447003321 |
|
Doraiswami Rajamani
|
||
| Chichester, West Sussex, United Kingdom : , : John Wiley & Sons, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Recursive identification and parameter estimation / / Han-Fu Chen, Wenxiao Zhao
| Recursive identification and parameter estimation / / Han-Fu Chen, Wenxiao Zhao |
| Autore | Chen Hanfu |
| Pubbl/distr/stampa | Boca Raton : , : Taylor & Francis, , [2014] |
| Descrizione fisica | 1 online resource (426 p.) |
| Disciplina | 620/.004201519536 |
| Soggetto topico |
Recursive functions
Parameter estimation Systems engineering - Mathematics |
| ISBN |
0-429-08883-3
1-138-03428-2 1-4665-6884-4 |
| Classificazione | MAT003000MAT029010TEC007000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Cover; Contents; Preface; Acknowledgments; About the Authors; 1. Dependent Random Vectors; 2. Recursive Parameter Estimation; 3. Recursive Identification for ARMAX Systems; 4. Recursive Identification for Nonlinear Systems; 5. Other Problems Reducible to Parameter Estimation; Appendix A: Proof of Some Theorems in Chapter 1; Appendix B: Nonnegative Matrices; References |
| Record Nr. | UNINA-9910787964103321 |
|
Chen Hanfu
|
||
| Boca Raton : , : Taylor & Francis, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
