Title
Neural-Network-Based Adaptive Backstepping Control With Application to Spacecraft Attitude Regulation.
Abstract
This paper investigates the neural-network-based adaptive control problem for a class of continuous-time nonlinear systems with actuator faults and external disturbances. The model uncertainties in the system are not required to satisfy the norm-bounded assumption, and the exact information for components faults and external disturbance is totally unknown, which represents more general cases in pr...
Year
DOI
Venue
2018
10.1109/TNNLS.2017.2756993
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Actuators,Backstepping,Symmetric matrices,Nonlinear systems,Adaptive systems,Space vehicles,Attitude control
Backstepping,Nonlinear system,Computer science,Adaptive system,Control theory,Attitude control,Exponential stability,Adaptive control,Artificial neural network,Actuator
Journal
Volume
Issue
ISSN
29
9
2162-237X
Citations 
PageRank 
References 
5
0.40
21
Authors
4
Name
Order
Citations
PageRank
Xibin Cao115611.44
Peng Shi215816704.36
Zhuoshi Li350.40
Ming Liu4393.54