“…System modeling is the first step which constructs a fuzzy model such as T-S fuzzy model or polynomial fuzzy model to describe the dynamics of the nonlinear plant and capture its characteristic. Depending on the nature of the nonlinear plant, variations of T-S fuzzy model/polynomial fuzzy model can be employed to capture the characteristic, just to a name a few, such as disturbance [114,88,115,116], input nonlinearity/saturation [117,85,118,119,120], jumping [121], positivity [122,123,124,125,69], stochastic processes [126,127], time delay [128,129,130], switching [131,79,132,133,134], uncertainties [46,135,87], etc., in continuous-time/discrete-time form.…”