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1.
Direct Torque Control of Interior Permanent Magnet Synchronous Motors using Resilient Extended Kalman Filter
by Gurung, Saita, M.S.  Southern Illinois University at Edwardsville. 2016: 53 pages; 10249999.
2.
Hybrid - Nudging Ensemble Kalman Filter and Ensemble Adjustment Kalman Filter Approach to Subsurface Water Contaminant Transport Modeling
by Hokey, Wisdom Mawuli, M.S.  North Carolina Agricultural and Technical State University. 2016: 76 pages; 10118469.
3.
Fault-Tolerant Nonlinear Estimator-Based Direct Torque Control of Sensorless AC Motor Drives
by Park, Joon B., M.S.  Southern Illinois University at Edwardsville. 2018: 59 pages; 10982121.
4.
Three-Power Power System State Estimation Using Extended Kalman Filter with CompactRIO Implementation
by Le, Raymond, M.S.  Southern Illinois University at Edwardsville. 2015: 73 pages; 1600571.
5.
Advanced Nonlinear Control and Estimation Methods for AC Power Generation Systems
by Gu, Patrick, M.S.  Southern Illinois University at Edwardsville. 2017: 93 pages; 10263630.
6.
Accurate Localization Given Uncertain Sensors
by Kramer, Jeffrey A., M.S.  University of South Florida. 2010: 285 pages; 1492929.
7.
Bayesian estimation for tracking of spiraling reentry vehicles
by Tapiero Bernal, Juan E., M.S.  Marquette University. 2013: 86 pages; 1534305.
8.
Smart Power Grid Synchronization with Nonlinear Estimation
by Darvish, Hossein, M.S.  Southern Illinois University at Edwardsville. 2015: 55 pages; 1589157.
9.
Direct Torque Control of AC Machine Drives
by Alam, S. M. Mahfuz, M.S.  Southern Illinois University at Edwardsville. 2016: 96 pages; 10128872.
10.
Locating an Autonomous Car Using the Kalman Filter to Reduce Noise
by Hema Balaji, Nagarathna, M.S.  California State University, Long Beach. 2018: 62 pages; 10978429.
11.
Strategies for Coupling Global and Limited-Area Ensemble Kalman Filter Assimilation
by Merkova, Dagmar, Ph.D.  University of Maryland, College Park. 2011: 78 pages; 3461403.
12.
Quaternion-Based Aircraft Attitude Estimation
by Filarsky, Brian Michael, M.S.  University of California, San Diego. 2016: 83 pages; 10133153.
13.
Inertial Navigation Employing a Common Frame Error Definition
by Whittaker, Matthew P., Ph.D.  State University of New York at Buffalo. 2019: 329 pages; 13425252.
14.
Eye Movement Prediction by Oculomotor Plant Modeling with Kalman Filter 2003-2007
by Oleg, Komogortsev Vladimirovich, Ph.D.  Kent State University. 2007: 121 pages; 10817889.
15.
Sensorless Field Oriented Control of Permanent Magnet Synchronous Motors with Nonlinear Filtering
by Sunderlin, Amy Elizabeth, M.S.  Southern Illinois University at Edwardsville. 2016: 96 pages; 10128061.
16.
Kalman Filter approaches on crane swing
by Abis, Cagri, M.S.  Michigan Technological University. 2012: 85 pages; 1534026.
17.
Kalman filter application on a Bluetooth driven anthropomorphic system
by Ly, Lisa Phung, M.S.  California State University, Long Beach. 2016: 63 pages; 10105269.
18.
Modular Bayesian filters
by Edgington, Padraic D., Ph.D.  University of Louisiana at Lafayette. 2015: 366 pages; 3712276.
19.
Investigation on the use of Graph Signal Processing for an intelligent taxis transportation system
by Al-Attabi, Ali Khalaf Nawar, M.S.  California State University, Fullerton. 2016: 58 pages; 10244831.
21.
Computational methods for support vector machine classification and large-scale Kalman filtering
by Howard, Marylesa Marie, Ph.D.  University of Montana. 2013: 124 pages; 3568109.
22.
Analyzing Real-Life Pedestrian Measurements Using Kalman Filters
by Mahakian, David R., M.S.  California State University, Long Beach. 2018: 102 pages; 10979263.
23.
Navigation algorithm for spacecraft lunar landing
by Paturi, Sasikanth Venkata Sai, M.S.  Mississippi State University. 2010: 124 pages; 1479262.
24.
Information Weighted Consensus for Distributed Estimation in Vision Networks
by Kamal, Ahmed Tashrif, Ph.D.  University of California, Riverside. 2013: 130 pages; 3600575.
25.
Error Reduction Using Kalman Filters
by Sondh, Sidhartha, M.S.  California State University, Long Beach. 2018: 59 pages; 10784214.
26.
Chaos, Observability and Symplectic Structure in Optimal Estimation
by Rey, Daniel, Ph.D.  University of California, San Diego. 2017: 185 pages; 10281245.
27.
Mixed-Signal Sensing, Estimation and Control for Miniature Robots
by Kuhlman, Michael Joseph, M.S.  University of Maryland, College Park. 2012: 131 pages; 1541601.
28.
30.
Robust attitude estimation in the presence of magnetic disturbances
by Anirudh, Shivaswamy, M.S.  State University of New York at Buffalo. 2011: 127 pages; 1488842.
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