Abstract
In this paper, an RBF neural adaptive control scheme is developed for a class of uncertain nonaffine nonlinear system. RBF neural network and Nussbaum function have been used to find the unknown part of control system. The Lyapunov theory is used to prove the stability of proposed control law and the update law. A Simulation example is provided to check the effectiveness of controller.
| Original language | English |
|---|---|
| Pages (from-to) | 67-77 |
| Number of pages | 11 |
| Journal | International Journal of Mathematics and Computer Science |
| Volume | 16 |
| Issue number | 1 |
| Publication status | Published - 2021 |
All Science Journal Classification (ASJC) codes
- Computer Science (miscellaneous)
- Algebra and Number Theory
- Statistics and Probability
- Numerical Analysis
- Modelling and Simulation
- Discrete Mathematics and Combinatorics
- Computational Mathematics
- Applied Mathematics
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