Abstract
Sliding mode control is one of the most robust nonlinear control schemes among many nonlinear controllers due to its robustness property and ability to decouple systems in lower dimensions. In order to overcome the known or bounded uncertainties many nonlinear controllers can work well, however, some of them fails to capture the unbounded uncertainties. The modeling of a real time system plays a vital role in mechanical system engineering. The exact modeling of a system is essential in order to analyze the behavior of the system. This article analyze the sliding mode control (SMC) behavior for nonlinear models and nonlinear uncertainties.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2017 International Conference on Communication, Computing and Digital Systems, C-CODE 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 326-330 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509044481 |
| DOIs | |
| State | Published - 3 May 2017 |
| Externally published | Yes |
Publication series
| Name | Proceedings of 2017 International Conference on Communication, Computing and Digital Systems, C-CODE 2017 |
|---|
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Sliding mode control
- chaotic oscillator
- duffing oscillator
- integral sliding mode
- nonlinear control
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Signal Processing
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