Title
Adaptive Neural Output Feedback Control for Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis and Unknown Control Directions.
Abstract
This paper investigates the problem of output feedback adaptive stabilization for a class of nonstrict-feedback stochastic nonlinear systems with both unknown backlashlike hysteresis and unknown control directions. A new linear state transformation is applied to the original system, and then, control design for the new system becomes feasible. By combining the neural network's (NN's) parameterizat...
Year
DOI
Venue
2018
10.1109/TNNLS.2017.2669088
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Nonlinear systems,Hysteresis,Output feedback,Artificial neural networks,Control design,Adaptive control
Nonlinear system,Parametrization,Backlash,Computer science,Control theory,Hysteresis,Adaptive control,Observer (quantum physics),Artificial neural network,Bounded function
Journal
Volume
Issue
ISSN
29
4
2162-237X
Citations 
PageRank 
References 
11
0.46
21
Authors
4
Name
Order
Citations
PageRank
Zhaoxu Yu11218.80
Shugang Li2868.43
Zhaosheng Yu3110.46
Fangfei Li436122.25