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2.
Wind Speed Preview Measurement and Estimation for Feedforward Control of Wind Turbines
by Simley, Eric J., Ph.D.  University of Colorado at Boulder. 2015: 256 pages; 3721887.
3.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
5.
Perfect tracking for non-minimum phase systems with applications to biofuels from microalgae
by Buehner, Michael R., Ph.D.  Colorado State University. 2010: 281 pages; 3419109.
6.
Advanced control for bench-scale double-pipe heat exchanger
by Al Qahtani, Abdullah, M.S.  California State University, Long Beach. 2014: 83 pages; 1568669.
7.
Active Control of Vehicle Powertrain and Road Noise
by Duan, Jie, Ph.D.  University of Cincinnati. 2011: 212 pages; 3475146.
8.
Building Teacher Self-Efficacy through Administrator Feedback
by Gutiérrez, Limary Trujillo, Ed.D.  San Jose State University. 2018: 138 pages; 10827388.
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Mechanisms of Impedance Control and Feedback Tuning in the Dominant and Nondominant Arm
by Walker, Elise Hope Eccles, Ph.D.  Northwestern University. 2015: 120 pages; 3741391.
11.
Modeling and adaptive robust motion control of piezoelectric actuators
by Zhong, Jinghua, Ph.D.  Purdue University. 2014: 115 pages; 3636707.
12.
Design of delta operator based decision feedback equalizer for high-speed backplane data communication
by Fan, Hsiang-Ta, M.S.  California State University, Long Beach. 2012: 54 pages; 1521620.
13.
Inner/outer-loop control methodolgy for multiple evaporator dryout avoidance under transient heat loads
by Pollock, Daniel T., Ph.D.  Rensselaer Polytechnic Institute. 2016: 152 pages; 10158658.
15.
Adaptive settle-optimal control of servomechanisms
by Rigney, Brian P., Ph.D.  University of Colorado at Boulder. 2008: 91 pages; 3337187.
16.
Tracking control for non-minimum phase system and brain computer interface
by Boudria, Yacine, Ph.D.  University of Rhode Island. 2015: 129 pages; 3716673.
17.
Control of Isometric Force in the Rat Hindlimb Using Functional Electrical Stimulation
by Jarc, Anthony Michael, Ph.D.  Northwestern University. 2011: 168 pages; 3489360.
18.
Design of Multi-Gb/s Multi-Coefficient Mixed-Signal Equalizers
by Thakkar, Chintan S., Ph.D.  University of California, Berkeley. 2012: 127 pages; 3686464.
19.
Decoupling control of a multiple-input, multiple-output process: Case studies of multi-tank system and distillation column
by Ihekire, Chika Lucy, M.S.  California State University, Long Beach. 2016: 101 pages; 10001543.
20.
Control of Power Converters for Distributed Generation Applications
by Dai, Min, Ph.D.  The Ohio State University. 2005: 192 pages; 10834958.
21.
Appreciative Inquiry and Video Self Modeling Leadership Program: Achieving Skill or Behavior Change
by Bilodeau, Bethany Jewell, D.A.  Franklin Pierce University. 2013: 221 pages; 3640147.
22.
An Evolutionary Model-Free Controller and its Application to the Swing-Up of a Double Inverted Pendulum
by Pamulaparthy, Venkata Dhruva, M.S.  California State University, Long Beach. 2017: 73 pages; 10690950.
23.
360° View Camera Based Visual Assistive Technology for Contextual Scene Information
by Ali, Mazin, M.S.  Rochester Institute of Technology. 2017: 54 pages; 10621991.
24.
Explicit encoding of spatial relations in the human visual system: Evidence from functional neuroimaging
by Hayworth, Kenneth Jeffrey, Ph.D.  University of Southern California. 2009: 228 pages; 3389612.
25.
Auditory event-related potentials recorded during passive listening and speech production
by Swink, Shannon D., Ph.D.  East Carolina University. 2010: 360 pages; 3419174.
26.
Blood Glucose Management Streptozotocin-Induced Diabetic Rats by Artificial Neural Network Based Model Predictive Control
by Bahremand, Saeid, M.S.  Southern Illinois University at Edwardsville. 2016: 92 pages; 10249804.
27.
The Effect of Inhibitory Feedback in a Small Neural Network
by Kim, Yungkwon, Ph.D.  New York University. 2014: 118 pages; 3614879.
28.
Comparison of Different Predistortion Techniques for Orthogonal Frequency Division Multiplexing Systems
by Kaur, Amandeep, M.S.  California State University, Long Beach. 2019: 47 pages; 13426595.
29.
Linear and Nonlinear Models for Forecasting the Realized Volatility of Cryptocurrencies
by Mitkov, Ivan, Master's  Humboldt Universitaet zu Berlin (Germany). 2018: 73 pages; 27733357.
30.
BCAP: An Artificial Neural Network Pruning Technique to Reduce Overfitting
by Brantley, Kiante, M.S.  University of Maryland, Baltimore County. 2016: 71 pages; 10140605.
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