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31 May 1994 Experiments with adaptive nonlinear control systems for atmospheric correction
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In this paper we characterize and illustrate Adaptive Optics Control system errors associated with sensor misregistration and present an approach to minimize them by employing nonlinear adaptive control methodologies. Furthermore, through the use of the Extended Kalman Filter methods, we determine if it is feasible that experimental data can be used to drive a complete multi-input multi-output dynamic model of the closed-loop adaptive optics system to estimate parameters directly related to stability margins. Finally, we review some results from an experimental verification of these theories. A closed loop adaptive optics breadboard is used to compare the observed effects of misregistration and other systematic error sources with the predictions of the models described above.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sol W. Gully, James Huang, Nikolaos Denis, Douglas P. Looze, Allan Wirth, Andrew J. Jankevics, and David A. Castanon "Experiments with adaptive nonlinear control systems for atmospheric correction", Proc. SPIE 2201, Adaptive Optics in Astronomy, (31 May 1994);


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