Application of fuzzy logic to the on-line adjustment of the parameters of 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 supervisory scheme that adjusts on-line the design parameters. This fuzzy logic based strategy is applicable to both regulation and tracking problems. Moreover, it guarantees a suitable degree of closed-loop stability while considering numerical problems (computational burden and matrix 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 light of the design objectives which was not the case when it was off-line.