{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T19:04:29Z","timestamp":1767035069426,"version":"build-2065373602"},"reference-count":35,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T00:00:00Z","timestamp":1687996800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Tertiary Education Scientific research project of the Guangzhou Municipal Education Bureau","award":["202235364","202201010381","2021ZDZX1109","KYTD2023004","6210021076"],"award-info":[{"award-number":["202235364","202201010381","2021ZDZX1109","KYTD2023004","6210021076"]}]},{"name":"Science and Technology Program of Guangzhou, China","award":["202235364","202201010381","2021ZDZX1109","KYTD2023004","6210021076"],"award-info":[{"award-number":["202235364","202201010381","2021ZDZX1109","KYTD2023004","6210021076"]}]},{"name":"Special projects in key fields of colleges and universities in Guangdong Province","award":["202235364","202201010381","2021ZDZX1109","KYTD2023004","6210021076"],"award-info":[{"award-number":["202235364","202201010381","2021ZDZX1109","KYTD2023004","6210021076"]}]},{"name":"Research project of Guangzhou City Polytechnic","award":["202235364","202201010381","2021ZDZX1109","KYTD2023004","6210021076"],"award-info":[{"award-number":["202235364","202201010381","2021ZDZX1109","KYTD2023004","6210021076"]}]},{"name":"National Natural Science Foundation of China","award":["202235364","202201010381","2021ZDZX1109","KYTD2023004","6210021076"],"award-info":[{"award-number":["202235364","202201010381","2021ZDZX1109","KYTD2023004","6210021076"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>The existence of the physiological tremor of the human hand significantly affects the application of tele-operation systems in performing high-precision tasks, such as tele-surgery, and currently, the process of effectively eliminating the physiological tremor has been an important yet challenging research topic in the tele-operation robot field. Some scholars propose using deep learning algorithms to solve this problem, but a large number of hyperparameters lead to a slow training speed. Later, the support-vector-machine-based methods have been applied to solve the problem, thereby effectively canceling tremors. However, these methods may lose the prediction accuracy, because learning energy cannot be accurately assigned. Therefore, in this paper, we propose a broad-learning-system-based tremor filter, which integrates a series of incremental learning algorithms to achieve fast remodeling and reach the desired performance. Note that the broad-learning-system-based filter has a fast learning rate while ensuring the accuracy due to its simple and novel network structure. Unlike other algorithms, it uses incremental learning algorithms to constantly update network parameters during training, and it stops learning when the error converges to zero. By focusing on the control performance of the slave robot, a sliding mode control approach has been used to improve the performance of closed-loop systems. In simulation experiments, the results demonstrated the feasibility of our proposed method.<\/jats:p>","DOI":"10.3390\/e25070999","type":"journal-article","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T01:17:46Z","timestamp":1688087866000},"page":"999","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["An Incremental Broad-Learning-System-Based Approach for Tremor Attenuation for Robot Tele-Operation"],"prefix":"10.3390","volume":"25","author":[{"given":"Guanyu","family":"Lai","sequence":"first","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou 510006, China"}]},{"given":"Weizhen","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou 510006, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2585-8033","authenticated-orcid":false,"given":"Weijun","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electrical Engineering, Guangzhou City Polytechnic, Guangzhou 510405, China"}]},{"given":"Huihui","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou 510006, China"}]},{"given":"Yutao","family":"He","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou 510006, China"}]},{"given":"Yun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou 510006, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1109\/TAES.2015.140752","article-title":"Hybrid modeling and analysis method for dynamic coupling of space robots","volume":"52","author":"Xu","year":"2016","journal-title":"IEEE Trans. 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