Dept. of Electr. Eng., National Taiwan Univ.Huang, Pai-YiPai-YiHuangLin, Sinn-ChengSinn-ChengLinYUNG-YAW CHEN2007-04-192018-07-062007-04-192018-07-061998-05http://ntur.lib.ntu.edu.tw//handle/246246/2007041910021799https://www.scopus.com/inward/record.uri?eid=2-s2.0-0031621280&doi=10.1109%2fFUZZY.1998.686297&partnerID=40&md5=11c9d30072a4bb9f2f845109d1b74665A fuzzy sliding-mode controller was optimized through real-coded genetic algorithms and successfully implemented on an industrial XY table. The fuzzy sliding-mode controller is special type of fuzzy controller. By using the sliding surface, the fuzzy rule is simpler and the entire rule base is more compact. Thus, more easy to apply self-learning schemes. The real-coded genetic algorithm uses the internal floating-point representation of the computer system. With this advantage, the finite resolution problem of traditional genetic algorithm has been solved. The experimental results show the success of this approach. © 1998 IEEE.application/pdf657622 bytesapplication/pdfen-USControl system synthesis; Fuzzy sets; Genetic algorithms; Learning systems; Position control; Fuzzy sliding-mode control; Precision positioning; Fuzzy controlconference paper10.1109/FUZZY.1998.6862972-s2.0-0031621280http://ntur.lib.ntu.edu.tw/bitstream/246246/2007041910021799/1/00686297.pdf