{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:00:40Z","timestamp":1760241640301,"version":"build-2065373602"},"reference-count":43,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2018,6,12]],"date-time":"2018-06-12T00:00:00Z","timestamp":1528761600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Actuators"],"abstract":"<jats:p>This work addresses the problem of finding the best controller parameters in order to improve the response of a single degree-of-freedom structural system under earthquake excitation. The control paradigm considered is based on brain emotional learning (BEL) and the actuation over the building dynamics is carried out by changing the stiffness of a magneto-rheological damper. A typical BEL-based controller requires the definition of several parameters which can prove difficult and non-intuitive to obtain. For this reason, an evolutionary-based search technique has been added to the current problem framework in order to automate the controller design. In particular, the particle swarm optimization method is chosen as the evolutionary based technique to be integrated within the current control paradigm. The obtained results suggest that, indeed, it is possible to parametrize a BEL controller using an evolutionary-based algorithm. Moreover, a simulation shows that the obtained results can outperform the ones obtained by manual tuning each controller parameter individually.<\/jats:p>","DOI":"10.3390\/act7020029","type":"journal-article","created":{"date-parts":[[2018,6,12]],"date-time":"2018-06-12T10:58:32Z","timestamp":1528801112000},"page":"29","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Evolutionary-Based BEL Controller Applied to a Magneto-Rheological Structural System"],"prefix":"10.3390","volume":"7","author":[{"given":"Manuel","family":"Braz C\u00e9sar","sequence":"first","affiliation":[{"name":"Instituto Polit\u00e9cnico de Bragan\u00e7a, Escola Superior de Tecnologia e Gest\u00e3o, 5300-253 Bragan\u00e7a, Portugal"},{"name":"Institute of R&amp;D in Structures and Construction (CONSTRUCT), Laboratory for Earthquake and Structural Engineering (LESE), 4200-465 Porto, Portugal"}]},{"given":"Jo\u00e3o","family":"Paulo Coelho","sequence":"additional","affiliation":[{"name":"Instituto Polit\u00e9cnico de Bragan\u00e7a, Escola Superior de Tecnologia e Gest\u00e3o, 5300-253 Bragan\u00e7a, Portugal"},{"name":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal"}]},{"given":"Jos\u00e9","family":"Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"Instituto Polit\u00e9cnico de Bragan\u00e7a, Escola Superior de Tecnologia e Gest\u00e3o, 5300-253 Bragan\u00e7a, Portugal"},{"name":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2018,6,12]]},"reference":[{"key":"ref_1","unstructured":"Lynch, J.P., Loh, K.J., Hou, T.C., Wang, Y., Yi, J., Yun, C.B., Lu, K., and Loh, C.H. 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