Print Email Facebook Twitter Takagi–Sugeno fuzzy payload estimation and adaptive control Title Takagi–Sugeno fuzzy payload estimation and adaptive control Author Beyhan, Selami (Pamukkale University) Eghbal Sarabi, F. (TU Delft Support Delft Center for Systems and Control) Lendek, Zsofia (Technical University of Cluj-Napoca) Babuska, R. (TU Delft Learning & Autonomous Control) Date 2017 Abstract In this paper, a novel adaptive Takagi-Sugeno (TS) fuzzy observer-based controller is proposed. The closed-loop stability and the boundedness of all the signals are proven by Lyapunov stability analysis. The proposed controller is applied to a flexible-transmission experimental setup. The performance for constant payload in the presence of noisy measurements is compared to a controller based on a classical extended Luenberger observer. Simulation and real-time results show that the proposed observer-based feedback controller provides accurate position tracking under constant and varying payloads. Subject adaptive payload estimationflexible-transmission systemobserver-based controlstabilityTS fuzzy modeling To reference this document use: http://resolver.tudelft.nl/uuid:b884841b-a00b-47e2-be24-f9f897479fe9 DOI https://doi.org/10.1016/j.ifacol.2017.08.150 Source IFAC-PapersOnLine, 50 (1), 844-849 Event 20th World Congress of the International Federation of Automatic Control (IFAC), 2017, 2017-07-09 → 2017-07-14, Toulouse, France Part of collection Institutional Repository Document type journal article Rights © 2017 Selami Beyhan, F. Eghbal Sarabi, Zsofia Lendek, R. Babuska Files PDF 1_s2.0_S2405896317301921_main.pdf 698.45 KB Close viewer /islandora/object/uuid:b884841b-a00b-47e2-be24-f9f897479fe9/datastream/OBJ/view