Name
Title | ||
|---|---|---|
Adaptive Neural Network-Based Filter Design for Nonlinear Systems With Multiple Constraints. |
Abstract | ||
|---|---|---|
Filter design for nonlinear systems, especially time delayed nonlinear systems, has always been an important and challenging problem. This brief investigates the filter design problem of nonlinear systems with multiple constraints: time delay, actuator, and sensor faults, and a new adaptive neural network-based filter design method is proposed. Comparing with the existing works where there is a sh... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNNLS.2020.3009391 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Observers,Delays,Delay effects,Adaptive systems,Actuators,Nonlinear systems,Design methodology | Journal | 32 |
Issue | ISSN | Citations |
7 | 2162-237X | 3 |
PageRank | References | Authors |
0.36 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qikun Shen | 1 | 550 | 19.64 |
| Peng Shi | 2 | 15816 | 704.36 |
| Ramesh K. Agarwal | 3 | 225 | 9.29 |
| Yan Shi | 4 | 285 | 27.64 |