Fuzzy observer-based adaptive control for a class of nonlinear systems with unknown time delays

Hassan A. Yousef*, Mohamed Hamdy

*المؤلف المقابل لهذا العمل

نتاج البحث: Conference contribution

ملخص

An observer-based adaptive fuzzy control is presented for a class of nonlinear systems with unknown time delays. State observer is first designed, and then based on the observed states the controller is designed via adaptive fuzzy control method. Both the designed observer and controller are independent of the time delays. Using an appropriate Lyapunov-Krasovskii functional, uncertainty of the unknown time delay is compensated for, and then the fuzzy logic system in Mamdani type is utilized to approximate the unknown nonlinear functions. Based on Lyapunov stability theory, the constructed observer-based controller and the closed-loop system is proved to be asymptotically stable. The designed control law is independent of the time delays and has a simple form with only one adaptive parameter vector, which is required to be updated on-line. Simulation results are presented to demonstrate the effectiveness of the proposed approach.

اللغة الأصليةEnglish
عنوان منشور المضيفProceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
الصفحات2307-2312
عدد الصفحات6
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2012
الحدث38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 - Montreal, QC, Canada
المدة: أكتوبر ٢٥ ٢٠١٢أكتوبر ٢٨ ٢٠١٢

سلسلة المنشورات

الاسمIECON Proceedings (Industrial Electronics Conference)

Other

Other38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012
الدولة/الإقليمCanada
المدينةMontreal, QC
المدة١٠/٢٥/١٢١٠/٢٨/١٢

ASJC Scopus subject areas

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