The multi-criteria predictive control of nonlinear dynamical systems based on Artificial Neural Networks (ANNs) and genetic algorithms (GAs) are considered. The (ANNs) are used to determine process models at each operating level; the control action is provided by minimizing a set of control...

This paper deals with the impact study of the choice of conjunctive operator between input variables of TSK fuzzy models, t-norm, on stability domain estimation. The approach is based on stability conditions issued from vector norms corresponding to a vector-Lyapunov function. In particular, for...

Fuzzy logic theory, introduced by Zadeh (1965), has been used in different approaches in control theory. Fuzzy inference using a data base of an expert knowledge is the most widely used. A second approach, first presented by Sugeno, consists in the use of several models representing a partial...

Most scheduling problems are complex combinatorial problems and very difficult to solve [Manage. Sci. 35 (1989) 164; F.S. Hillier, G.J. Lieberman, Introduction to Operations Research, Holden-Day, San Francisco, CA, 1967]. That is why, lots of methods focus on the optimization according to a single...

Most complex scheduling problems are combinatorial problems and difficult to solve. That is why, several methods focus on the optimization according to a single criterion such as makespan, workloads of machines, waiting times, etc. In this paper, the Choquet integral is introduced as a general...

Several basic ideas for the control of non-linear continuous systems are discussed in this paper. The use of the principle of analytic control leads to construct practical suboptimal control laws. In a second time, with the help of the bilinearization of non-linear systems on one hand and...