Name
Title | ||
|---|---|---|
Adaptive Neural Network Learning Controller Design for a Class of Nonlinear Systems With Time-Varying State Constraints. |
Abstract | ||
|---|---|---|
This paper studies an adaptive neural network (NN) tracking control method for a class of uncertain nonlinear strict-feedback systems with time-varying full-state constraints. As we all know, the states are inevitably constrained in the actual systems because of the safety and performance factors. The main contributions of this paper are that: 1) in order to ensure that the states do not violate the asymmetric time-varying constraint regions, an adaptive NN controller is constructed by introducing the asymmetric time-varying barrier Lyapunov function (TVBLF) and 2) the amount of the learning parameters is reduced by introducing a TVBLF at each step of the backstepping. Based on the Lyapunov stability analysis, it can be proven that all the signals in the closed-loop system are the semiglobal ultimately uniformly bounded and the time-varying full-state constraints are never violated. Finally, a numerical simulation is given, and the effectiveness of this adaptive control method can be verified. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TNNLS.2019.2899589 | IEEE transactions on neural networks and learning systems |
Keywords | Field | DocType |
Nonlinear systems,Artificial neural networks,Time-varying systems,Adaptive control,Lyapunov methods | Backstepping,Control theory,Nonlinear system,Computer simulation,Control theory,Computer science,Uniform boundedness,Lyapunov stability,Artificial intelligence,Adaptive control,Artificial neural network,Machine learning | Journal |
Volume | Issue | ISSN |
31 | 1 | 2162-237X |
Citations | PageRank | References |
13 | 0.46 | 37 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan-Jun Liu | 1 | 3754 | 110.77 |
| Lei Ma | 2 | 89 | 26.24 |
| Lei Liu | 3 | 319 | 14.27 |
| Shaocheng Tong | 4 | 8625 | 289.74 |
| C. L. Philip Chen | 5 | 4022 | 244.76 |