Adaptive control design for nonlinear systems via successive approximations
Date
2017Source Title
Proceedings of the ASME 2017 Dynamic Systems and Control Conference, DSCC 2017
Publisher
ASME
Pages
1 - 8
Language
English
Type
Conference PaperItem Usage Stats
350
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views
363
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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 systemsAdvanced 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/11693/37568Published Version (Please cite this version)
http://dx.doi.org/10.1115/DSCC2017-5353Collections
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