Title
Neuro-Adaptive Control With Given Performance Specifications for Strict Feedback Systems Under Full-State Constraints.
Abstract
In this paper, we investigate the tracking control problem for a class of strict feedback systems with pregiven performance specifications as well as full-state constraints. Our focus is on developing a feasible neural network (NN)-based control method that is able to, under full-state constraints, force the tracking error to converge into a prescribed region within preset finite time and further ...
Year
DOI
Venue
2019
10.1109/TNNLS.2018.2821668
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Artificial neural networks,Stability analysis,Steady-state,Control design,Safety,Transient analysis
Residual,Computer simulation,Pattern recognition,Control theory,Computer science,Overshoot (signal),Auxiliary function,Artificial intelligence,Adaptive control,Artificial neural network,Tracking error,Bounded function
Journal
Volume
Issue
ISSN
30
1
2162-237X
Citations 
PageRank 
References 
8
0.41
22
Authors
3
Name
Order
Citations
PageRank
Xiucai Huang1612.89
Yong-Duan Song21949108.61
Jun-Feng Lai3141.15