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To overcome the problem of unstable communication and potential pressure loss, a memory-pushing fuzzy control strategy is proposed to achieve better practical performance without human-guided operations. The pushing dynamics without communication is derived to proof the convergence of the dynamic system, and the time-based memory-pushing fuzzy model is built for compensating the potential pressure loss. Finally, the proposed control strategy is simulated in virtual environment, which integrates our pushing dynamics, and an industrial experiment is demonstrated as well. Both the simulation and industrial experiments show the efficiency and feasibility of the proposed method.<\/jats:p>","DOI":"10.1155\/2020\/7256427","type":"journal-article","created":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T23:32:17Z","timestamp":1598311937000},"page":"1-15","source":"Crossref","is-referenced-by-count":4,"title":["A Noncommunicative Memory-Pushing Fuzzy Control Strategy for Sensorless Multirobot Systems"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0866-7937","authenticated-orcid":true,"given":"Lin","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Mechanical and Electrical Engineering, Yangtze Normal University, Chongqing 408100, China"},{"name":"Jiangsu Key Laboratory of Special Robot Technology, Changzhou 213022, 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