The authors address the tracking control of nonlinear systems with unknown dynamics. A self-tuning control architecture is proposed based on the nonlinear computational properties of artificial neural networks. A local convergence analysis of the weight update equations is given and then the algorithm is simulated and successfully tested for discrete time nonlinear systems.
|Original language||English (US)|
|Number of pages||5|
|Journal||Conference Record - Asilomar Conference on Circuits, Systems & Computers|
|State||Published - Dec 1 1991|
|Event||24th Asilomar Conference on Signals, Systems and Computers Part 2 (of 2) - Pacific Grove, CA, USA|
Duration: Nov 5 1990 → Nov 7 1990
ASJC Scopus subject areas