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1.
Simulation and Control of Biological Stochasticity
by Rackauckas, Christopher Vincent, Ph.D.  University of California, Irvine. 2018: 209 pages; 10827971.
2.
A control framework for continuous time adaptation in modern day embedded systems
by Kallakuri, Sankalp, Ph.D.  State University of New York at Stony Brook. 2007: 147 pages; 3334943.
3.
Spatial Stochastic Simulation of Biochemical Systems
by Drawert, Brian J., D.Eng.  University of California, Santa Barbara. 2013: 208 pages; 3559784.
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Adaptive control and learning using multiple models
by Wang, Yu, Ph.D.  Yale University. 2017: 229 pages; 10783473.
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Simulation-based methods for stochastic control and global optimization
by Wang, Yongqiang, Ph.D.  University of Maryland, College Park. 2011: 195 pages; 3478991.
7.
Biologically -inspired control for self -adaptive multiagent systems
by Yu, Chih-Han, Ph.D.  Harvard University. 2010: 226 pages; 3415434.
8.
Planning under uncertainty: From informative path planning to partially observable semi-MDPs
by Wei, Lim Zhan, Ph.D.  National University of Singapore (Singapore). 2015: 148 pages; 10006047.
9.
ES-MRAC: A new paradigm for adaptive control, theory and applications
by Haghi, Poorya, Ph.D.  Purdue University. 2014: 156 pages; 3636028.
10.
Creative Learning for Intelligent Robots
by Liao, Xiaoqun, Ph.D.  University of Cincinnati. 2006: 295 pages; 10857161.
11.
Stochastic Cellular Manufacturing System Design and Control
by Egilmez, Gokhan, Ph.D.  Ohio University. 2012: 257 pages; 10631052.
12.
Spacecraft Formation Control: Adaptive PID-Extended Memory Recurrent Neural Network Controller
by Gonzalez, Juan, M.S.  California State University, Long Beach. 2018: 76 pages; 10978237.
13.
A New Control Paradigm for Stochastic Differential Equations
by Schmid, Matthias J. A., Ph.D.  State University of New York at Buffalo. 2017: 310 pages; 10285670.
15.
Formation control and connectivity control for mobile robot networks using vision based measurements
by Poonawala, Hasan A., Ph.D.  The University of Texas at Dallas. 2014: 126 pages; 3629039.
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Understanding adaptive laser pulse-shaping control of two-photon emission and second harmonic generation
by Montgomery, Matthew A., Ph.D.  University of Colorado at Boulder. 2008: 180 pages; 3337186.
19.
Robust Light Transport Simulation using Progressive Density Estimation
by Hachisuka, Toshiya, Ph.D.  University of California, San Diego. 2011: 209 pages; 3473619.
20.
Bumpless transfer and fading memory for adaptive switching control
by Cheong, Shin-Young, Ph.D.  University of Southern California. 2009: 93 pages; 3389609.
21.
Multi-fidelity Stochastic Collocation
by Raissi, Maziar, Ph.D.  George Mason University. 2013: 80 pages; 3591697.
22.
Single cell interferon beta response variation with virus infection
by Patil, Sonali A., Ph.D.  Icahn School of Medicine at Mount Sinai. 2014: 115 pages; 3617973.
23.
Particle filtering for stochastic control and global optimization
by Zhou, Enlu, Ph.D.  University of Maryland, College Park. 2009: 138 pages; 3372999.
24.
Stochastic Processes in Physics: Deterministic Origins and Control
by Demers, Jeffery, Ph.D.  University of Maryland, College Park. 2017: 210 pages; 10253623.
25.
Active Control of Vehicle Powertrain and Road Noise
by Duan, Jie, Ph.D.  University of Cincinnati. 2011: 212 pages; 3475146.
26.
Statistical Methods for High Dimensional Variable Selection
by Li, Kaiqiao, Ph.D.  State University of New York at Stony Brook. 2019: 114 pages; 13427291.
27.
Model Predictive Control for Energy Efficient Buildings
by Ma, Yudong, Ph.D.  University of California, Berkeley. 2013: 131 pages; 3593911.
28.
Stochastic optimization for power management in radial distribution networks with renewable photovoltaic generation
by Bazrafshan, Mohammadhafez, M.S.  The University of Texas at San Antonio. 2014: 110 pages; 1565173.
29.
Regime shifts in ecology and evolution
by Boettiger, Carl, Ph.D.  University of California, Davis. 2012: 87 pages; 3555268.
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