Conference
Adaptive control design for nonlinear systems via successive approximations
العنوان: | Adaptive control design for nonlinear systems via successive approximations |
---|---|
المؤلفون: | Babaei N., Salamci M.U., Karakurt A.H. |
المصدر: | ASME 2017 Dynamic Systems and Control Conference, DSCC 2017 |
بيانات النشر: | American Society of Mechanical Engineers |
سنة النشر: | 2017 |
المجموعة: | Bilkent University: Institutional Repository |
مصطلحات موضوعية: | 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, Robots, Wind power, Adaptation rules, Adaptive control designs, Design Methodology, Nonlinear plant, Reference modeling, Reference systems, Successive approximation approach, Successive approximations, Model reference adaptive control |
الوصف: | 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. Copyright © 2017 ASME. |
نوع الوثيقة: | conference object |
وصف الملف: | application/pdf |
اللغة: | English |
ردمك: | 978-0-7918-5827-1 0-7918-5827-8 |
Relation: | http://dx.doi.org/10.1115/DSCC2017-5353; http://hdl.handle.net/11693/37568 |
DOI: | 10.1115/DSCC2017-5353 |
الاتاحة: | http://hdl.handle.net/11693/37568 https://doi.org/10.1115/DSCC2017-5353 |
رقم الانضمام: | edsbas.775B5A17 |
قاعدة البيانات: | BASE |
ردمك: | 9780791858271 0791858278 |
---|---|
DOI: | 10.1115/DSCC2017-5353 |