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Based on the Lyapunov theory and BIBO stability approach, necessary conditions are established to guarantee the convergence of the adaptive law of the IFNN controller and the boundary of the tracking error of the closed loop system. Third, regarding the feasibility and the effectiveness of the developed control method, two simulation examples including the continuous stirred-tank reactor (CSTR) system and the heat exchanger system are given. Finally, the practical validation of the proposed data-driven control method is conducted via the speed control of a DC motor.<\/jats:p>","DOI":"10.1007\/s40747-023-01254-6","type":"journal-article","created":{"date-parts":[[2023,11,14]],"date-time":"2023-11-14T02:01:39Z","timestamp":1699927299000},"page":"2271-2297","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Event-triggered model-free adaptive control for nonlinear systems using intuitionistic fuzzy neural network: simulation and experimental validation"],"prefix":"10.1007","volume":"10","author":[{"given":"Sameh","family":"Abd-Elhaleem","sequence":"first","affiliation":[]},{"given":"Mohamed A.","family":"Hussien","sequence":"additional","affiliation":[]},{"given":"Mohamed","family":"Hamdy","sequence":"additional","affiliation":[]},{"given":"Tarek A.","family":"Mahmoud","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,11,14]]},"reference":[{"issue":"4","key":"1254_CR1","doi-asserted-by":"publisher","first-page":"2135","DOI":"10.1109\/TFUZZ.2017.2764851","volume":"26","author":"M Hamdy","year":"2018","unstructured":"Hamdy M, Abd-Elhaleem S, Fkirin MA (2018) Adaptive fuzzy predictive controller for a class of networked nonlinear systems with time-varying delay. 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