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Secondly, with the help of MTNs approximating the unknown nonlinear functions, a novel adaptive MTN control scheme has the advantages of low cost, simple structure and real time feature is developed via backstepping technique. It is shown that the tracking error finally converges to a small domain around the origin and all signals in the closed-loop system are bounded. Finally, two examples are given to demonstrate the effectiveness of the proposed control scheme. <\/jats:p>","DOI":"10.1177\/0142331220916601","type":"journal-article","created":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T06:36:55Z","timestamp":1588315015000},"page":"2482-2491","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":18,"title":["Adaptive multi-dimensional Taylor network tracking control for a class of switched nonlinear systems with input nonlinearity"],"prefix":"10.1177","volume":"42","author":[{"given":"Shan-Liang","family":"Zhu","sequence":"first","affiliation":[{"name":"College of Electromechanical Engineering, Qingdao University of Science and Technology, China"},{"name":"School of Mathematics and Physics, Qingdao University of Science and Technology, China"}]},{"given":"De-Yu","family":"Duan","sequence":"additional","affiliation":[{"name":"School of Mathematics and Physics, Qingdao University 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