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System Identification of Flight Mechanical Characteristics.

Bibliographic Details
Main Author: Larsson, Roger.
Format: eBook
Language:English
Published: Linköping : Linkopings Universitet, 2013.
Edition:1st ed.
Series:Linköping Studies in Science and Technology. Thesis Series
Subjects:
Online Access:Click to View
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100 1 |a Larsson, Roger. 
245 1 0 |a System Identification of Flight Mechanical Characteristics. 
250 |a 1st ed. 
264 1 |a Linköping :  |b Linkopings Universitet,  |c 2013. 
264 4 |c {copy}2013. 
300 |a 1 online resource (138 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Linköping Studies in Science and Technology. Thesis Series ;  |v v.1599 
505 0 |a 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. 
588 |a Description based on publisher supplied metadata and other sources. 
590 |a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.  
655 4 |a Electronic books. 
776 0 8 |i Print version:  |a Larsson, Roger  |t System Identification of Flight Mechanical Characteristics  |d Linköping : Linkopings Universitet,c2013 
797 2 |a ProQuest (Firm) 
830 0 |a Linköping Studies in Science and Technology. Thesis Series 
856 4 0 |u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=30401046  |z Click to View