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First, the D-S evidence synthesis theory is applied to transform the speed coordination rule method. The model for predicting the manipulator\u2019s future state is given to gain confidence in each state. Subsequently, performance comparison experiments of D-S evidence synthesis control theory, cascade control, fuzzy control, and adaptive fuzzy control are completed on the 3-degree-of-freedom (3-DOF) manipulator simulation platform. Finally, according to the experimental results, the accuracy of D-S evidence synthesis theory is 7.49% better than cascade control, 16.84% better than fuzzy control, and 28.45% better than adaptive fuzzy control. The adaptability of D-S evidence synthesis theory is generally superior to cascade control, slightly inferior to fuzzy control and inferior to adaptive fuzzy control. <\/jats:p>","DOI":"10.1177\/01423312241263395","type":"journal-article","created":{"date-parts":[[2024,7,28]],"date-time":"2024-07-28T06:22:40Z","timestamp":1722147760000},"page":"908-925","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["A speed coordination control method based on D-S evidence synthesis theory"],"prefix":"10.1177","volume":"47","author":[{"given":"Wei","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China"},{"name":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, 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