{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:08:49Z","timestamp":1777702129485,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[1994,8,1]],"date-time":"1994-08-01T00:00:00Z","timestamp":775699200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[1994,8]]},"abstract":"<jats:p>Today's technology requires controls capable of handling highly nonlinear, time-varying, uncertain systems. Variable structure control (VSC) is one such control method. Variable structure control is invariant to system perturbations and external disturbances; however, a high-frequency control chattering exists that renders the VSC impractical for most applications. Fuzzy inference can be used to reduce the chattering. By using fuzzy inference to determine the switching scheme of the VSC, the original robustness and fast response time of the VSC can be retained while reducing the control chattering. Optimization of the fuzzy parameters using genetic algorithms will also produce a system with improved response time and accuracy.<\/jats:p>","DOI":"10.3233\/ifs-1994-2303","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T17:37:22Z","timestamp":1575308242000},"page":"229-241","source":"Crossref","is-referenced-by-count":1,"title":["Fuzzy Inference for Variable Structure Control"],"prefix":"10.1177","volume":"2","author":[{"given":"John E.","family":"Hogans IV","sequence":"first","affiliation":[{"name":"537 McNair Hall, Department of Electrical Engineering, Control and Guidance Group, North Carolina A&amp;T State University, Greensboro, NC 27405"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdollah","family":"Homaifar","sequence":"additional","affiliation":[{"name":"537 McNair Hall, Department of Electrical Engineering, Control and Guidance Group, North Carolina A&amp;T State University, Greensboro, NC 27405"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bijan","family":"Sayyarrodsari","sequence":"additional","affiliation":[{"name":"537 McNair Hall, Department of Electrical Engineering, Control and Guidance Group, North Carolina A&amp;T State University, Greensboro, NC 27405"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[1994,8]]},"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-1994-2303","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-1994-2303","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:34:59Z","timestamp":1777455299000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/IFS-1994-2303"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1994,8]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[1994,8]]}},"alternative-id":["10.3233\/IFS-1994-2303"],"URL":"https:\/\/doi.org\/10.3233\/ifs-1994-2303","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[1994,8]]}}}