Observer and command-filter-based adaptive fuzzy output feedback control of uncertain nonlinear systems IEEE Transactions on Industrial Electronics, 2015; 62(9) Abstract-In this paper, observer and command filter-based adaptive fuzzy output feedback control is proposed for a class of strict-feedback systems with parametric uncertainties and unmeasured states. First, fuzzy logic systems are used to approximate the unknown and nonlinear functions. Next, a fuzzy state observer is developed to estimate the immeasurable states. Then, command filtered backstepping control is designed to avoid the explosion of complexity in the backstepping design and compensating signals are introduced to remove the effect of the errors caused by command filters. The proposed method guarantees that all signals in the closed-loop systems are bounded. The main contributions of this paper are the proposed control method can overcome two problems of linear in the unknown system parameter and explosion of complexity in backsteppingdesign methods and it does not require that all the states of the system are measured directly. Finally, two examples are provided to illustrate its effectiveness.

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