Yousefi, EhsanDemir, Didem FatmaSipahi, R.Yücelen, T.Yıldız, Yıldıray2018-04-122018-04-122017http://hdl.handle.net/11693/37569Date of Conference: 11–13 October 2017Conference Name: ASME 2017 Dynamic Systems and Control Conference, DSCC 2017Model reference adaptive control (MRAC) can effectively handle various challenges of the real world control problems including exogenous disturbances, system uncertainties, and degraded modes of operations. In human-in-the-loop settings, MRAC may cause unstable system trajectories. Basing on our recent work on the stability of MRAC-human dynamics, here we follow an optimization based computations to design a linear filter and study whether or not this filter inserted between the human model and MRAC could help remove such instabilities, and potentially improve performance. To this end, we present a mathematical approach to study how the error dynamics of MRAC could favorably or detrimentally influence human operator's error dynamics in performing a certain task. An illustrative numerical example concludes the study.EnglishAdaptive control systemsAdvanced driver assistance systemsAdvanced vehicle control systemsAerospace applicationsAutomobile driversBandpass filtersIntelligent robotsIntelligent systemsLinear control systemsMachine designMathematical operatorsRoboticsSignal filtering and predictionWind powerExogenous disturbancesHuman-in-the-loopImprove performanceMathematical approachModes of operationReal world controlSystem uncertaintiesModel reference adaptive controlConference Paper10.1115/DSCC2017-5001