Title
Predictor-Based Fuzzy Adaptive Containment Control for Nonlinear Multiagent Systems With Actuator Nonlinearity and Unmeasurable States
Abstract
This article investigates the containment control problem of nonlinear multiagent systems subject to actuator nonlinearity, unmeasured states, and unknown external disturbances. The predictor technique is employed for each subsystem, and the prediction error is utilized to update the adaptive law. The problem of actuator nonlinearity with dead zone and saturation input is solved by introducing an auxiliary control signal. Incorporating the state observer and disturbance ones, an extended state observer is proposed to compensate the effect of unmeasurable and unknown disturbances, simultaneously. Based on Lyapunov theory and graph theory, it is shown that the devised control scheme guarantees that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded. Moreover, the followers can enter the dynamic convex hull spanned by the dynamic leaders. A simulation example with comparison analysis is provided to illustrate the effectiveness of the theoretical results.
Year
DOI
Venue
2022
10.1109/TFUZZ.2021.3120206
IEEE Transactions on Fuzzy Systems
Keywords
DocType
Volume
Actuator nonlinearity,containment control,distributed observer,predictor
Journal
30
Issue
ISSN
Citations 
9
1063-6706
0
PageRank 
References 
Authors
0.34
41
5
Name
Order
Citations
PageRank
Wei-Yen Wang199587.40
Longbing Cao22212185.04
Tao Li382551.78
Hongbin Liang4878.04
Fuchun Sun52377225.80