Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach (Lecture Notes in Control and Information Sciences)
Machine tuning of stable analytical fuzzy predictive controllers
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Hi-index | 0.00 |
In the proposed mechanism the output constraints are handled in a relatively easy way. The method is based on prediction generation known from the MPC (Model Predictive Control) algorithms. It can be, however, used in the case of practically any analytical fuzzy controller. The big advantage of the proposed mechanism is possibility to take into consideration influence of the control action many sampling instants ahead. Therefore, the constraint handling can offer very good control performance.