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It is assumed that the leader\u2019s output is time varying and has been accessed by only a small fraction of followers in a group. The distributed fixed-time tracking consensus control is proposed to design local consensus controllers in order to guarantee the consensus tracking between the followers and the leader and ensure the error convergence time is independent of the systems\u2019 initial state. The function approximation technique using radial basis function neural networks (RBFNNs) is employed to compensate for unknown nonlinear terms induced from the controller design procedure. From the Lyapunov stability theorem and graph theory, it is shown that, by using the proposed fixed-time control strategy, all signals in the closed-loop system and the consensus tracking errors are cooperatively semiglobally uniformly bounded and the errors converge to a neighborhood of the origin within a fixed time. Finally, the effectiveness of the proposed control strategy has been proved by rigorous stability analysis and two simulation examples.<\/jats:p>","DOI":"10.1155\/2020\/4130945","type":"journal-article","created":{"date-parts":[[2020,8,26]],"date-time":"2020-08-26T23:36:47Z","timestamp":1598485007000},"page":"1-21","source":"Crossref","is-referenced-by-count":1,"title":["Distributed Adaptive Fixed-Time Tracking Consensus Control for Multiple Uncertain Nonlinear Strict-Feedback Systems under a Directed Graph"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8415-1353","authenticated-orcid":true,"given":"Pinwei","family":"Li","sequence":"first","affiliation":[{"name":"School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1486-0717","authenticated-orcid":true,"given":"Jiyang","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Information Engineering, 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