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A deep neural network modeling method which has stronger representation capability than conventional neural network and can deal with big training data is adopted to establish an on-board model in the subsonic and supersonic cruising envelops. Meanwhile, a global optimization algorithm interval analysis is applied here to get a better engine performance. Finally, two simulation experiments are conducted to verify the effectiveness of the proposed methods. One is the on-board model modeling which compares the deep neural network with the conventional neural network, and the other is the performance-seeking control simulations comparing interval analysis with feasible sequential quadratic programming, particle swarm optimization, and genetic algorithm, respectively. These two experiments show that the deep neural network has much higher precision than the conventional neural network and the interval analysis gets much better engine performance than feasible sequential quadratic programming, particle swarm optimization, and genetic algorithm.<\/jats:p>","DOI":"10.1177\/0959651819852477","type":"journal-article","created":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T02:29:37Z","timestamp":1559356177000},"page":"46-59","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["A study on global optimization and deep neural network modeling method in performance-seeking control"],"prefix":"10.1177","volume":"234","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8055-5633","authenticated-orcid":false,"given":"Qiangang","family":"Zheng","sequence":"first","affiliation":[{"name":"Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]},{"given":"Dawei","family":"Fu","sequence":"additional","affiliation":[{"name":"Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]},{"given":"Yong","family":"Wang","sequence":"additional","affiliation":[{"name":"Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]},{"given":"Haoying","family":"Chen","sequence":"additional","affiliation":[{"name":"Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]},{"given":"Haibo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]}],"member":"179","published-online":{"date-parts":[[2019,5,31]]},"reference":[{"key":"bibr1-0959651819852477","doi-asserted-by":"publisher","DOI":"10.1177\/0959651816633352"},{"key":"bibr2-0959651819852477","doi-asserted-by":"publisher","DOI":"10.1177\/095965180421800301"},{"key":"bibr3-0959651819852477","volume-title":"Integrated airframe propulsion control","author":"Fennell RE","year":"1982"},{"key":"bibr4-0959651819852477","doi-asserted-by":"publisher","DOI":"10.1177\/0954410016683412"},{"key":"bibr5-0959651819852477","doi-asserted-by":"crossref","unstructured":"Orme JS, Conners TR. 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