ABSTRACT
The control of general uncertain nonlinear system has been awidely investigated problem because of its wide applications in practical systems. Many practical systems may be so complex or, even, model-free that to construct a mathematical model or identify its parameters is difficult or even impossible. Adaptive fuzzy control allows incorporating linguistic fuzzy information from human operators and can provide universal nonlinear approximator. Therefore, fuzzy control is a very good candidate for control of uncertain nonlinear dynamic systems (Li and Tong, 2003; Phan and Gale, 2008; Chen et al., 2008).
