Abstract:
Constrained Fuzzy predictive control become among efficient techniques in control and industrial field for its tolerance, and respect of imposed constraints.
In the framework of predictive control, the synthesis follows the minimization at each sampling time, of an upper bound for a quadratic cost associated with an infinite time horizon. The optimization problem which takes into account state and control constraints is described in terms of a semi definite programming one including linear matrix inequalities. The obtained results, were presenting in tow approaches, PDC and Non‐PDC. This last, make the searching of solution for the problems of LMI easier than using the PDC controller and lead to reduce the problem of conservatism.
