A feedback-based implementation scheme for batch process optimization

摘要: The terminal-cost optimization of a control–affine nonlinear system leads to discontinuous solution that can be characterized in piecewise manner. To implement such an optimal trajectory despite disturbances and parametric uncertainty, cascade scheme is proposed this paper, where reference signals are tracked. Optimality achieved by the appropriate definition (input bounds, state constraints, or switching functions) track various sub-intervals. Furthermore, conservatism introduced into problem ensure satisfaction path constraints presence uncertainty. Finally, illustrated on simulation fed-batch penicillin fermentation plant.