“…In recent years, T-S fuzzy systems has been an effective method to analyze and synthesize nonlinear systems, because of the fact that the T-S fuzzy model is able to transform a complex nonlinear system into several simple linear systems with membership functions, approximating the nonlinear function smoothly with an arbitrary precision in the closed set space, which is ubiquitous in chemical processes, robotics systems, and automatic systems (Tanaka and Wang, 2004). Thus, many results on T-S fuzzy systems, analyzing nonlinear systems, have been reported in terms of various methods, including stability analysis (Lam et al, 2007; Zhao et al, 2009; Zhu et al, 2012, 2018a), controller design (Xia et al, 2010; Wu et al, 2014a,b, 2015; Liu et al, 2016; Wang et al, 2018a; Zhong et al, 2018; Zhao et al, 2019), and fault detection and filter design (Li et al, 2015; Wang et al, 2016, 2017, 2018b; Zhu et al, 2018b), etc.…”