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For the FOMASs including one leader agent and multiple follower agents, an observer\u2010type fractional\u2010order iterative learning consensus protocol is proposed. Based on the two\u2010dimensional analysis for the FOMASs, a novel performance index, which can exhibit the monotonic convergence of the input errors, is constructed by using the definition of fractional integral. A Lyapunov\u2010like method is applied to derive the sufficient conditions in terms of linear matrix inequalities, which can guarantee the perfect tracking of consensus and the monotonic convergence of input errors. Finally, the numerical simulation results including comparisons to traditional two\u2010dimensional analysis are presented to demonstrate the effectiveness of the proposed methods.<\/jats:p>","DOI":"10.1155\/2019\/9734094","type":"journal-article","created":{"date-parts":[[2019,11,7]],"date-time":"2019-11-07T23:32:04Z","timestamp":1573169524000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Performance Index Based Observer\u2010Type Iterative Learning Control for Consensus Tracking of Uncertain Nonlinear Fractional\u2010Order Multiagent Systems"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3837-2331","authenticated-orcid":false,"given":"Liming","family":"Wang","sequence":"first","affiliation":[]},{"given":"Guoshan","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2019,11,7]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.2514\/2.4721"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11424-008-9116-8"},{"key":"e_1_2_10_3_2","doi-asserted-by":"crossref","unstructured":"YufkaA. 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