Paper Info
Title
Observer-Based Event-Triggered Adaptive Fuzzy Control for Fractional-Order Time-Varying Delayed MIMO Systems Against Actuator Faults
Abstract
This article presents the observer-based event-triggered adaptive hybrid fuzzy dynamic surface control strategy for a category of uncertain nonstrict-feedback fractional-order nonlinear multi-input multi-output systems, including unknown time-varying delays and actuator faults. First, an adaptive hybrid fuzzy state observer and a serial-parallel estimation system are constructed to estimate the unmeasured system states and incorporate them into the control design scheme, respectively, where some appropriate fuzzy logic systems are introduced to approximate the unknown nonlinear functions. According to the dynamic surface control technique, the designed adaptive fuzzy control approach can surmount the deficiency of “complexity explosion.” Then, an observer-based adaptive event-triggered control algorithm is developed by constructing the Lyapunov–Krasovskii functionals and estimating the compounded disturbances. Furthermore, it is proved that under the drive of the reference signals, all the signals in the closed-loop system are semiglobally uniformly ultimately bounded and Zeno behavior can be successfully excluded. Finally, an example with numerical simulations is utilized to exhibit the applicability of the obtained observer-based event-triggered adaptive fuzzy control approach.
Year
DOI
Venue
2022
10.1109/TFUZZ.2022.3177794
IEEE Transactions on Fuzzy Systems
Keywords
DocType
Volume
Adaptive fuzzy control (AFC),dynamic surface control (DSC),event-triggered mechanism (ETM),fractional-order multi-input multi-output systems (MIMO) systems,serial-parallel estimation model
Journal
30
Issue
ISSN
Citations 
12
1063-6706
0
PageRank 
References 
Authors
0.34
43
3
Name
Order
Citations
PageRank
Wengui Yang1415.33
W. X. Zheng2834.12
Wenwu Yu34340185.95