APPLICATION OF FUZZY-LOGIC TO THE ONLINE ADJUSTMENT OF THE PARAMETERSOF A GENERALIZED PREDICTIVE CONTROLLER

To achieve the desired performance and fully exploit the capabilities of generalized predictive control, we propose in this paper a fuzzy su pervisory scheme that adjusts on-line the design parameters. This fuzz y logic based strategy is applicable to both regulation and tracking p roblems. Moreover, it guarantees a suitable degree of closed-loop stab ility while considering numerical problems (computational burden and m atrix inversion). The results of this paper are satisfactory and bring out the remarkable abilities of the fuzzy supervision system. In fact , in all cases, the fuzzy supervisor achieved optimal performance in l ight of the design objectives which was not the case when it was off-l ine.