Many typical chemical dynamic systems include uncertain parameters

which can put a lot of influences to the system design and performance.The system optimization problems become more complexity when systems cherish with uncertain parameters and time delay together.The effect of the time delay on the result of the dynamic optimization for chemical process system with uncertain parameters is considered in this paper.In order to solve this complicated optimization problem

the improved finite collation method is provided.By the improved optimization algorithm

the optimization problem of dynamic systems including uncertainty and time delay can be solved availably.The validity of the proposed approach is demonstrated by the analysis and simulation result of the reactor-separator chemical system train with delayed recycle and the non-adiabatic reactor case study.So a quantitative analysis method and theory is provided finally for the dynamic system design and operation optimization under uncertainty and time delay.