中文摘要：

预兆的控制(NMPC ) 是的非线性的模型为改进批进程的性能的一种呼吁的控制技术，而是它在工业的实现不由于它的重联机计算总是是可能的。在批过程便于 NMPC 的实现，我们建议一个即时更新的模型预兆的控制方法基于状态评价。方法包括二策略：多重模型大楼策略和一个即时模型更新了策略。多重模型大楼策略是生产一系列简化模型减少 NMPC 的联机计算复杂性。更新的策略是更新简化模型保留描述动态过程行为的模型的精确性的即时模型。方法与一个典型的批反应堆被验证。模拟研究证明新方法在进程参数关于模型失配和变化有效、柔韧。

英文摘要：

Nonlinear model predictive control （NMPC） is an appealing control technique for improving the per- formance of batch processes, but its implementation in industry is not always possible due to its heavy on-line computation. To facilitate the implementation of NMPC in batch processes, we propose a real-time updated model predictive control method based on state estimation. The method includes two strategies： a multiple model building strategy and a real-time model updated strategy. The multiple model building strategy is to produce a series of sim- plified models to reduce the on-line computational complexity of NMPC. The real-time model updated strategy is to update the simplified models to keep the accuracy of the models describing dynamic process behavior. The method is validated with a typical batch reactor. Simulation studies show that the new method is efficient and robust with respect to model mismatch and changes in process parameters.