Title
Robust Sliding Mode-Based Learning Control for MIMO Nonlinear Nonminimum Phase System in General Form.
Abstract
The tracking control of a multi-input multioutput nonlinear nonminimum phase system in general form is discussed. This system is assumed to be suffering from parameter uncertainties and unmodeled dynamics, and the priori information of them is unknown. By considering both the exact model and uncertain model, the sliding mode-based learning controller is proposed. By designing an appropriate sliding surface and a learning controller, the stability of the closed-loop system is guaranteed for both the exact model and uncertain model. To overcome the disadvantage caused by parameter uncertainties and unmodeled dynamics, a fuzzy logical system is adopted here. A numerical simulation result carried on vertical takeoff and landing aircraft is taken as an example to validate the effectiveness of the presented controller.
Year
DOI
Venue
2019
10.1109/TCYB.2018.2874682
IEEE transactions on cybernetics
Keywords
Field
DocType
MIMO communication,Standards,Nonlinear dynamical systems,Vehicle dynamics,Uncertainty,Uncertain systems
Control theory,Mathematical optimization,Nonlinear system,Computer simulation,Takeoff and landing,Control theory,Fuzzy logic,MIMO,Vehicle dynamics,Learning controller,Mathematics
Journal
Volume
Issue
ISSN
49
10
2168-2275
Citations 
PageRank 
References 
2
0.37
20
Authors
4
Name
Order
Citations
PageRank
Xiaoxiang Hu121.72
C. H. Chang242836.69
Xiao-Sheng Si362346.17
yan zhao4125.00