Abstract
This paper investigates the tracking control problem of a class of uncertain nonaffine systems. To achieve global tracking with guaranteed transient performance, a control strategy consisting of supervisory control and neural adaptive control is proposed. The supervisory sliding mode controller ensures that system states enter into a compact set exponentially and remain thereafter, and thereafter, the neural controller based on prescribed performance bound (PPB) is switched in. The global stability of system is proved by Lyapunov-based methodology. Simulation studies clarify and verify the approach.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 27th Chinese Control and Decision Conference, CCDC 2015 |
| Publisher | IEEE |
| Pages | 2281-2286 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479970179 |
| DOIs | |
| Publication status | Published - 17 Jul 2015 |
| Externally published | Yes |
Keywords
- adaptive neural control
- neural network (NN)
- nonaffine nonlinear systems
- prescribed performance bound (PPB)
- supervisory control
- tracking control
- transient performance