In previous works presenting various forms of neural-network-based predictive controllers, the main emphasis has been on the implementation aspects, i.e. the development of a robust optimization algorithm for the controller, which will be able to perform in real time. However, the stability issue has not been addressed specifically for these controllers. On the other hand a number of results concerning the stability of receding horizon controllers on a nonlinear system exist. In this paper we present a proof of stability for a predictive controller controlling a neural network model. The resulting controller is tested on a nonlinear pneumatic servo system.
|Title of host publication||Proceedings of the International Joint Conference on Neural Networks|
|Publication status||Published - 2009|
|Event||1999 IEEE International Joint Conference on Neural Networks - Washington, United States|
Duration: 10 Jul 1999 → 16 Jul 1999
|Conference||1999 IEEE International Joint Conference on Neural Networks|
|Period||10/07/1999 → 16/07/1999|