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Douglas A. Bristow
Researcher at Missouri University of Science and Technology
Publications - 108
Citations - 3925
Douglas A. Bristow is an academic researcher from Missouri University of Science and Technology. The author has contributed to research in topics: Iterative learning control & Adaptive control. The author has an hindex of 18, co-authored 106 publications receiving 3318 citations. Previous affiliations of Douglas A. Bristow include University of Missouri & University of Illinois at Urbana–Champaign.
Papers
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Journal ArticleDOI
A survey of iterative learning control
TL;DR: Though beginning its third decade of active research, the field of ILC shows no sign of slowing down and includes many results and learning algorithms beyond the scope of this survey.
Journal ArticleDOI
Special issue on “iterative learning control”
Hyo-Sung Ahn,Douglas A. Bristow +1 more
TL;DR: Recent advances in ILC theory in the Asian Journal of Control is reviewed, taking account of various theoretical aspects such as stability along the iteration, robustness, parameter adaptation, monotonic convergence, optimality, and hard nonlinearities.
Journal ArticleDOI
A High Precision Motion Control System With Application to Microscale Robotic Deposition
TL;DR: A control algorithm that combines nonlinearity compensation and a learning feedforward approach to achieve high-precision tracking with a standard, off-the-shelf motion system is presented.
Journal ArticleDOI
Modeling and calibration of high-order joint-dependent kinematic errors for industrial robots
TL;DR: It is demonstrated that nearly 20% of the kinematic error in this study can be attributed to complex, joint-dependent error sources, and the proposed modeling framework, constructed from measurements of 250 poses, describes 97.0%" of the measured error.
Journal ArticleDOI
Combined $H _{\infty}$ -Feedback Control and Iterative Learning Control Design With Application to Nanopositioning Systems
B.E. Helfrich,Chibum Lee,Douglas A. Bristow,X.H. Xiao,Jingyan Dong,Andrew G. Alleyne,Srinivasa M. Salapaka,Placid M. Ferreira +7 more
TL;DR: In this paper, a coordinated feedback and feed-forward control design strategy for precision motion control (PMC) systems is presented. But the authors do not consider the effect of additional non-repeating exogenous signals, including disturbances, noise, and reset errors.