System Identification of Flight Mechanical Characteristics.
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Superior document: | Linköping Studies in Science and Technology. Thesis Series ; v.1599 |
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Place / Publishing House: | Linköping : : Linkopings Universitet,, 2013. {copy}2013. |
Year of Publication: | 2013 |
Edition: | 1st ed. |
Language: | English |
Series: | Linköping Studies in Science and Technology. Thesis Series
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Online Access: | |
Physical Description: | 1 online resource (138 pages) |
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Table of Contents:
- Abstract
- Populärvetenskaplig sammanfattning
- Acknowledgments
- Contents
- Notation
- 1 Introduction
- 1.1 Research Motivation
- 1.2 Goal
- 1.3 Contributions
- 1.4 Thesis Outline
- 2 System Identification
- 2.1 Dynamical Systems
- 2.2 Modeling
- 2.3 Identification Methods
- 2.3.1 Prediction-Error Method
- 2.3.2 State and Parameter Estimation Method
- 2.3.3 Instrumental Variable Method
- 2.3.4 State Estimation Method
- 2.4 Simple Example
- 3 Aeronautics
- 3.1 Definitions
- 3.2 Flight Mechanical System Description
- 3.3 Modeling
- 3.3.1 System Modeling
- 3.3.2 Noise Modeling
- 4 Sequential Identification
- 4.1 Problem Formulation
- 4.2 Methods
- 4.2.1 Sequential Frequency Domain Method
- 4.2.2 Recursive Time-Domain Method
- 4.2.3 Improved Sequential Frequency Domain Method
- 4.3 Estimation on Simulated Data
- 4.4 Estimation on Real Data
- 4.5 Conclusions
- 5 Identification of Unstable Nonlinear Systems
- 5.1 Problem Formulation
- 5.2 Methods
- 5.2.1 Prediction Error Methods
- 5.2.2 State Estimation Method
- 5.2.3 Parameter and State Optimization Method
- 5.3 Estimation on Simulated Data
- 5.4 Identification on Real Data
- 5.5 Conclusions
- 6 Discussion and Future Work
- A Nonlinear Aircraft Model
- B Kalman Filters
- B.1 Extended Kalman Filter (EKF)
- B.2 Unscented Kalman Filter (UKF)
- C Complementary Results to the Identification of Unstable Nonlinear Systems
- C.1 Tuning Results from Noise (SNR) Sensitivity Study
- C.2 Complementary Results for the SNR Sensitivity Study
- C.3 Tuning Results from Initial Offset (0) Sensitivity Study
- Bibliography.