Experimental studies in nonlinear discrete-time adaptive prediction and control

Presents implementation results using the discrete-time adaptive prediction and control techniques introduced in Spooner and Passino (1998, 1997) and Spooner and Ordonez (1996,1997). 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.