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An adaptive learning controller that allows performing autonomous proximity maneuvers in the presence of uncertain orbital parameters is then developed. The unknown disturbances are considered, and a modified adaptive learning controller is therefore designed in the presence of uncertain parameters and unknown disturbances. The asymptotic stability of the proposed controllers for the closed-loop systems is proven based on the Lyapunov theory. Different numerical results are finally provided and compared to illustrate the performance of the proposed adaptive learning controllers. <\/jats:p>","DOI":"10.1142\/s0218001417590078","type":"journal-article","created":{"date-parts":[[2016,11,23]],"date-time":"2016-11-23T01:07:41Z","timestamp":1479863261000},"page":"1759007","source":"Crossref","is-referenced-by-count":3,"title":["Robust Adaptive Learning Control for Spacecraft Autonomous Proximity Maneuver"],"prefix":"10.1142","volume":"31","author":[{"given":"Shunan","family":"Wu","sequence":"first","affiliation":[{"name":"School of Aeronautics and Astronautics, Dalian University of Technology, Dalian 116024, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shenghui","family":"Wen","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics, Dalian University of Technology, Dalian 116024, P. R. 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