Name
Title | ||
|---|---|---|
Low-Cost Approximation-Based Adaptive Tracking Control of Output-Constrained Nonlinear Systems |
Abstract | ||
|---|---|---|
For pure-feedback nonlinear systems under asymmetric output constraint, we present a low-cost neuroadaptive tracking control solution with salient features benefited from two design steps. In the first step, a novel output-dependent universal barrier function (ODUBF) is constructed such that not only the restrictive condition on constraining boundaries/functions is removed but also both constraine... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNNLS.2020.3026078 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Nonlinear systems,Artificial neural networks,Control design,Adaptive systems,Backstepping,Learning systems | Journal | 32 |
Issue | ISSN | Citations |
11 | 2162-237X | 2 |
PageRank | References | Authors |
0.36 | 22 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai Zhao | 1 | 104 | 13.74 |
| Yong-Duan Song | 2 | 1949 | 108.61 |
| Wenchao Meng | 3 | 185 | 10.37 |
| C. L. Philip Chen | 4 | 4022 | 244.76 |
| Long Chen | 5 | 528 | 49.21 |