R. Benabdennour et al., APPLICATION OF FUZZY-LOGIC TO THE ONLINE ADJUSTMENT OF THE PARAMETERSOF A GENERALIZED PREDICTIVE CONTROLLER, Intelligent automation and soft computing, 4(3), 1998, pp. 197-213
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.