Premium
Adaptive fuzzy FTC design of nonlinear stochastic systems with actuator faults and unmodeled dynamics
Author(s) -
Su Hang,
Zhang Weihai
Publication year - 2018
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2889
Subject(s) - backstepping , control theory (sociology) , actuator , nonlinear system , fuzzy logic , control engineering , fuzzy control system , computer science , observer (physics) , adaptive control , engineering , control (management) , artificial intelligence , physics , quantum mechanics
Summary This paper investigates an adaptive fuzzy control method for accommodating actuator faults in a class of uncertain stochastic nonlinear systems with both immeasurable states and unmodeled dynamics. The considered faults are modeled as both loss of effectiveness and lock‐in‐place. To deal with the immeasurable states, a novel state observer containing the actuator faults is designed. Combining with the backstepping technique and stochastic small‐gain theorem, an adaptive fuzzy output feedback control method is developed. The presented design scheme can guarantee that the closed‐loop system is input‐to‐state practically stable in probability. Finally, a simulation example is shown to verify the effectiveness of the proposed control method.