control of uncertain fuzzy continuous-time systems
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2017, Computers in Human BehaviorCitation Excerpt :It explains the effectiveness of electrotherapy control theory and how to fit into the scope of human behavior. This study extends the idea of the fuzzy Lyapunov function (Tanaka, Hori, & Wang, 2003) to include chaotic model with uncertainty in the closed-loop control design with a differential term to overcome on these disadvantages of conservative theories with traditional Lyapunov function (single Lyapunov function) and single stabilization solution (Cao, Lam, & Sun, 1998, Cao, Rees, & Feng, 2000, Cao, Gao, Lam, Vasilakos, & Pedrycz, 2014; Chen, Tseng, & Uang, 1999; Joo, Shieh, & Chen, 1999; Liu, Sun, & Sun, 2005; Tanaka & Wang, 2001; Wong, Leung, & Tam, 1998; Yamamoto & Furuhashi, 2001) as piece-wise Lyapunov function (Feng, 2003). To relax the conservative constraint, design and analysis example of the chaotic system control problem is given to illustrate the effectiveness of the proposed parallel evolutionary approach and provide multiple stabilization solutions to be generate multiple electrical stimulation signals when compared with most existing nonlinear controllers (Alfi, 2012; Hashim & Abido, 2015, pp. 1–11; Lin, 2004).
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