Adaptive control design for nonlinear systems via successive approximations

Abstract

Date of Conference: 11–13 October 2017 Conference Name: ASME 2017 Dynamic Systems and Control Conference, DSCC 2017 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.

Original document

The different versions of the original document can be found in:

• http://hdl.handle.net/11693/37568

• http://hdl.handle.net/20.500.12481/12268

• http://repository.bilkent.edu.tr/bitstream/11693/37568/1/Adaptive%20control%20design%20for%20nonlinear%20systems%20via%20successive%20approximations.pdf

• http://asmedigitalcollection.asme.org/DSCC/proceedings-pdf/doi/10.1115/DSCC2017-5353/2375805/v001t15a006-dscc2017-5353.pdf,

http://dx.doi.org/10.1115/dscc2017-5353

• https://asmedigitalcollection.asme.org/DSCC/proceedings/DSCC2017/58271/V001T15A006/229543,

http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=2663449,

http://repository.bilkent.edu.tr/handle/11693/37568,

https://academic.microsoft.com/#/detail/2768520994