GA-based predictive control for nonlinear processes

Seunghak Shin, S.B. Park

Electronics Letters · 1998 · 40 citations · 3 references

Concepts

Abstract

The control problem of nonlinear processes is handled by using a GA-based optimisation technique. A three-layered neural network is used to generate future predicted outputs of the controlled process. Level control of a simulated tank is presented to demonstrate the effectiveness of the proposed method.

References

3