Title
Adaptive Fuzzy Asymptotic Control of MIMO Systems With Unknown Input Coefficients Via a Robust Nussbaum Gain-Based Approach.
Abstract
This paper proposes an adaptive fuzzy asymptotic control method for multiple input multiple output (MIMO) nonlinear systems with unknown input coefficients, with a focus on handling unknown input nonlinearities and control directions. For all the existing Nussbaum gain-based approaches, it is difficult to investigate unknown input coefficients problem since multiple time-varying coefficients and d...
Year
DOI
Venue
2017
10.1109/TFUZZ.2016.2604848
IEEE Transactions on Fuzzy Systems
Keywords
Field
DocType
MIMO,Control systems,Nonlinear systems,Adaptive systems,Robustness,Fuzzy control,Uncertainty
Mathematical optimization,Nonlinear system,Control theory,Adaptive system,Fuzzy logic,MIMO,Robustness (computer science),Adaptive control,Fuzzy control system,Control system,Mathematics
Journal
Volume
Issue
ISSN
25
5
1063-6706
Citations 
PageRank 
References 
35
0.84
47
Authors
6
Name
Order
Citations
PageRank
Ci Chen124710.91
Zhi Liu2107853.09
Kan Xie335128.49
Yan-Jun Liu43754110.77
Yun Zhang557630.23
C. L. Philip Chen64022244.76