Title
Adaptive Neural Quantized Control for a Class of MIMO Switched Nonlinear Systems With Asymmetric Actuator Dead-Zone.
Abstract
This paper concentrates on the adaptive state-feedback quantized control problem for a class of multiple-input-multiple-output (MIMO) switched nonlinear systems with unknown asymmetric actuator dead-zone. In this study, we employ different quantizers for different subsystem inputs. The main challenge of this study is to deal with the coupling between the quantizers and the dead-zone nonlinearities...
Year
DOI
Venue
2020
10.1109/TNNLS.2019.2927507
IEEE Transactions on Neural Networks and Learning Systems
Keywords
DocType
Volume
Switches,MIMO communication,Nonlinear systems,Adaptive systems,Switched systems,Backstepping
Journal
31
Issue
ISSN
Citations 
6
2162-237X
5
PageRank 
References 
Authors
0.38
29
5
Name
Order
Citations
PageRank
Kan Xie135128.49
Ziliang Lyu2251.94
Zhi Liu3107853.09
Yun Zhang443433.55
C. L. Philip Chen54022244.76