Babaei, N.Salamcı, M. U.Karakurt, Ahmet Hakan2018-04-122018-04-122017http://hdl.handle.net/11693/37568Date of Conference: 11–13 October 2017Conference Name: ASME 2017 Dynamic Systems and Control Conference, DSCC 2017The paper presents an approach to the Model Reference Adaptive Control (MRAC) design for nonlinear dynamical systems. A nonlinear reference system is considered such that its response is designed to be stable via Successive Approximation Approach (SAA). Having designed the stable reference model through the SAA, MRAC is then formulated for nonlinear plant dynamics with a new adaptation rule to guarantee the convergence of the nonlinear plant response to that of the response of the nonlinear reference model. The proposed design methodology is illustrated with examples for different case studies.EnglishAdaptive control systemsAdvanced driver assistance systemsAdvanced vehicle control systemsAerospace applicationsApproximation theoryAutomobile driversDesignDynamical systemsIntelligent robotsIntelligent systemsLinear control systemsMachine designNonlinear dynamical systemsRoboticsWind powerAdaptation rulesAdaptive control designsDesign MethodologyNonlinear plantReference modelingReference systemsSuccessive approximationsModel reference adaptive controlConference Paper10.1115/DSCC2017-5353