Journal
FUZZY SETS AND SYSTEMS
Volume 248, Issue -, Pages 138-155Publisher
ELSEVIER
DOI: 10.1016/j.fss.2013.11.006
Keywords
Uncertain nonlinear systems; Fuzzy logic systems; Fuzzy control; Adaptive control; Output constraints; Input saturation
Funding
- National Natural Science Foundation of China [61203008, 61374113, 51179019]
- Program for Liaoning Innovative Research Team in University [LT2012013]
- Program for Liaoning Excellent Talents in University [LR2012016]
- Natural Science Foundation of Liaoning Province [20102012]
Ask authors/readers for more resources
In this paper, the problem of adaptive fuzzy output-feedback control is investigated for a class of output constrained uncertain nonlinear systems with input saturation and unmeasured states. To address output constraint and input constraint, a barrier Lyapunov function and an auxiliary design system are employed, respectively. Fuzzy logic systems are utilized to approximate the unknown nonlinear functions, and a fuzzy state observer is designed to estimate the unmeasured states. By utilizing the fuzzy state observer, and combining the adaptive backstepping technique with adaptive fuzzy control design, an observer-based adaptive fuzzy output-feedback control approach is developed. It is proved that the proposed control approach can guarantee that all the signals in the closed-loop system are bounded, and the input and output constraints are circumvented simultaneously. A numerical example is provided to illustrate the effectiveness of the proposed approach. (C) 2013 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available