A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2005; you can also visit the original URL.
The file type is application/pdf.
Experimental studies in nonlinear discrete-time adaptive prediction and control
Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171)
Preserved Fulltext
This brief paper presents implementation results using the discrete-time adaptive prediction and control techniques introduced in [1] - [5] . We consider a process control experiment as our testbed, and develop a discrete-time adaptive predictor for liquid volume and a discrete-time adaptive controller for reference volume tracking. We use Takagi-Sugeno fuzzy systems as our function approximators, and for both prediction and control we investigate the use of a least-squares update of the fuzzy system's parameters.
doi:10.1109/cdc.1998.758685
fatcat:2l4fvymdnrcuhpiknby5pjmmbe