A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2004; you can also visit the original URL.
The file type is application/pdf
.
Adaptive output feedback control of uncertain multi-input multi-output systems using single hidden layer neural networks
2002
Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301)
We consider adaptive output feedback control of uncertain multi-input multi-output nonlinear systems, in which both the dynamics and the dimension of the regulated plant may be unknown, but knowledge of vector relative degree is required. Given smooth reference trajectories, the problem is to design controllers that force the system measurements to track them with bounded errors. The classical approach necessitates building a state observer. However, finding a good observer for an uncertain
doi:10.1109/acc.2002.1023243
fatcat:bzb42hmlf5bfznnlnceoqqjxny