Title
Tracking Control of Unknown and Constrained Nonlinear Systems via Neural Networks With Implicit Weight and Activation Learning
Abstract
For systems with irregular (asymmetric and positively-negatively alternating) constraints being imposed/removed during system operation, there is no uniformly applicable control method. In this work, a control design framework is established for uncertain pure-feedback systems subject to the aforementioned constraints. By introducing a novel transformation function and with the help of auxiliary c...
Year
DOI
Venue
2021
10.1109/TNNLS.2021.3085371
IEEE Transactions on Neural Networks and Learning Systems
Keywords
DocType
Volume
Systems operation,Nonlinear systems,Artificial neural networks,Learning systems,Control design,Trajectory,Adaptive control
Journal
32
Issue
ISSN
Citations 
12
2162-237X
0
PageRank 
References 
Authors
0.34
12
2
Name
Order
Citations
PageRank
Qian Cui111.03
Yongduan Song241.40