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      • Department of Mechanical Engineering
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      Adaptive control design for nonlinear systems via successive approximations

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      Author(s)
      Babaei, N.
      Salamcı, M. U.
      Karakurt, Ahmet Hakan
      Date
      2017
      Source Title
      Proceedings of the ASME 2017 Dynamic Systems and Control Conference, DSCC 2017
      Publisher
      ASME
      Pages
      1 - 8
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      The 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.
      Keywords
      Adaptive control systems
      Advanced driver assistance systems
      Advanced vehicle control systems
      Aerospace applications
      Approximation theory
      Automobile drivers
      Design
      Dynamical systems
      Intelligent robots
      Intelligent systems
      Linear control systems
      Machine design
      Nonlinear dynamical systems
      Robotics
      Wind power
      Adaptation rules
      Adaptive control designs
      Design Methodology
      Nonlinear plant
      Reference modeling
      Reference systems
      Successive approximations
      Model reference adaptive control
      Permalink
      http://hdl.handle.net/11693/37568
      Published Version (Please cite this version)
      http://dx.doi.org/10.1115/DSCC2017-5353
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      • Department of Mechanical Engineering 288
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