{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:48:15Z","timestamp":1770749295455,"version":"3.50.0"},"reference-count":21,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2015,8,10]],"date-time":"2015-08-10T00:00:00Z","timestamp":1439164800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2015,8,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>This paper investigates the implementation of adaptive and nonadaptive fuzzy controls for a smart lights experimental testbed. The objective is to accurately regulate the light level across the experimental testbed to a desired value, and to test the performance of the fuzzy controllers under cross-illumination effects and bulb and sensor failures. As an initial approach, a decentralized (i.e., no communication between controllers) nonadaptive fuzzy controller is implemented and applied to the smart lights. This approach is convenient for this type of experimental testbed where a mathematical model of the plant is not available and heuristic information about how to control the system is sufficient. The nonadaptive fuzzy controller, when properly tuned, is able to achieve uniform lighting across the entire testbed floor in most of the tested situations but it fails whenever an on\/off light bulb failure is introduced. In order to attain uniform lighting in the presence of failures, a \u201cfuzzy model reference learning controller\u201d (i.e., adaptive fuzzy controller) is implemented for the smart lights, and this algorithm proves to be able to successfully adapt to uncertainties such as disturbances and failures.<\/jats:p>","DOI":"10.3233\/ifs-151539","type":"journal-article","created":{"date-parts":[[2015,8,21]],"date-time":"2015-08-21T15:27:18Z","timestamp":1440170838000},"page":"2605-2620","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Fuzzy fault tolerant control for smart lights"],"prefix":"10.1177","volume":"28","author":[{"given":"Jose J.","family":"Velasquez","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Ohio State University, Columbus, OH, USA"}]},{"given":"Kevin M.","family":"Passino","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Ohio State University, Columbus, OH, USA"}]}],"member":"179","published-online":{"date-parts":[[2015,8,10]]},"reference":[{"key":"e_1_3_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/87.918902"},{"key":"e_1_3_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0967-0661(02)00032-1"},{"key":"e_1_3_1_4_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207170412331326963"},{"key":"e_1_3_1_5_1","first-page":"1","article-title":"Substantial Energy Savings through Adaptive Lighting","author":"Hughes RF","year":"2008","unstructured":"HughesRFDhannuSS2008Substantial Energy Savings through Adaptive Lighting2008 IEEE Electrical Power & Energy Conference14","journal-title":"2008 IEEE Electrical Power & Energy Conference"},{"key":"e_1_3_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2013.2258399"},{"issue":"3","key":"e_1_3_1_7_1","first-page":"466","article-title":"Expert Supervision of Fuzzy Learning Systems for Fault Tolerant Aircraft Control","volume":"83","author":"Kwong WA","year":"1995","unstructured":"KwongWAPassinoKMLauknonenEGYurkovichS1995Expert Supervision of Fuzzy Learning Systems for Fault Tolerant Aircraft ControlSpecial Issue on Fuzzy Logic in Engineering Applications, Proceedings of the IEEE833466483","journal-title":"Special Issue on Fuzzy Logic in Engineering Applications, Proceedings of the IEEE"},{"key":"e_1_3_1_8_1","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-1996-4103"},{"key":"e_1_3_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/37.248001"},{"key":"e_1_3_1_10_1","first-page":"132","article-title":"A Smart Lighting Control to Save Energy","volume":"1","author":"Martirano L","year":"2011","unstructured":"MartiranoL2011A Smart Lighting Control to Save EnergyThe 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications1132138","journal-title":"The 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications"},{"key":"e_1_3_1_11_1","first-page":"5","article-title":"Global lighting energy savings potential","volume":"10","author":"Mills E","year":"2002","unstructured":"MillsE2002Global lighting energy savings potentialLight and Engineering10510","journal-title":"Light and Engineering"},{"key":"e_1_3_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/91.771089"},{"key":"e_1_3_1_13_1","unstructured":"PassinoKM2005Biomimicry for Optimization Control and AutomationLondon UKSpringer-Verlag"},{"key":"e_1_3_1_14_1","unstructured":"PassinoKMYurkovichS1998Fuzzy ControlMenlo Park CAAddison-Wesley-Longman"},{"key":"e_1_3_1_15_1","unstructured":"PhadkeSS2010Distributed Control for Smart Lights. 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