Abstract
The adaptive fuzzy output feedback control problem for a class of pure feedback systems with partial state constraints is addressed in this paper. The fuzzy state observers are designed to estimate the unmeasured state while the fuzzy logic systems are used to approximate the unknown nonlinear functions. The proposed adaptive fuzzy output feedback controller can guarantee that the partial state constraints are not violated, and all closed-loop signals remain bounded by use of Barrier Lyapunov Functions (BLFs). A numerical example is presented to illustrate the effectiveness of the results in this paper.
Highlights
IntroductionControl design of nonlinear systems has attracted increasing interests
During the last decades, control design of nonlinear systems has attracted increasing interests
We propose a generalised design to deal with partial state constraint and the adaptive fuzzy output feedback controller which based on the backstepping technique and fuzzy state observer will be proposed
Summary
Control design of nonlinear systems has attracted increasing interests. All kinds of control techniques have been proposed for both theoretical analysis and practical applications [1,2,3,4,5,6]. Many practical systems are inherently nonlinear and subject to many forms of constraints such as saturation and physical stoppages. Violation of the constraints may degrade the control performance and even make the system unstable. The constraints handling in control design has attracted considerable attention [6,7,8,9,10,11,12,13,14,15]. There exist various techniques to tackle the constraints for nonlinear systems like nonlinear reference governor [7], invariance control [9], nonlinear model predictive control [11], etc
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