| Document Date: 2014-09-16 16:10:00
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City Cambridge / Extremum Seeking / Washington / Learning / Eyabi / / Company Mead / MES / Mitsubishi Electric Research Laboratories Inc. / Coordinated Science Laboratory / / Country United States / / / Facility University of Illinois / Coordinated Science Laboratory / / IndustryTerm model-free learning algorithm / control algorithm / extremum seeking algorithm / electromagnetic systems / learning-based adaptive algorithm / autonomous systems / non-autonomous systems / aircraft systems / maximal solution / learning algorithm / / Organization University of Illinois / Mechanical Science and Engineering Department / / Person Angeli Theorem / / / Position backstepping-based controller / learning-based adaptive controller / adaptive controller / learning-based nonlinear controller / combined model-based nominal controller / nonlinear controller / proposed nonlinear controller / nominal controller / whole controller / backstepping nonlinear controller / nonlinear backstepping controller / controller / Corresponding author / proposed controller / / ProvinceOrState Massachusetts / / Technology learning algorithm / extremum seeking algorithm / control algorithm / model-free learning algorithm / learning-based adaptive algorithm / / URL http /
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MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Extremum Seeking-based Adaptive Control for Electromagnetic Actuators