Learning in the synthesis of data-driven variable-gain controllers

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5 Citations (Scopus)


To deal with performance trade-offs in the control of motion systems, a method is developed for designing variable-gain feedback controllers. The idea is to select a piecewise affine controller structure and, subsequently, to find the nonlinear controller parameter values of this structure by data-driven performance optimization. Herein an ℌ 2 performance objective is minimized. As a result, variable-gain controllers are synthesized using techniques from the field of learning and optimization. The method is applied to a wafer stage simulation model.
Original languageEnglish
Title of host publication2013 ACC conference
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-4799-0178-4
ISBN (Print)978-1-4799-0177-7
Publication statusPublished - 2013
Event2013 1st American Control Conference, ACC 2013 - Washington, DC, United States
Duration: 17 Jun 201319 Jun 2013


Conference2013 1st American Control Conference, ACC 2013
CountryUnited States
CityWashington, DC

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