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70年代中期以来,预测控制得到了迅速发展,并在工业过程中获得了成功的应用。但对其所表现出的很强的鲁棒性机理研究,确是很不够的。此文主要分析了预测控制最突出的优点之一——鲁棒性——的原因,即在系统数学模型与实际过程出现失配时,使控制性能保持在允许范围内的能力,优于传统最优控制的原因。分析认为,尽管实际系统中模型失配无法预知,但根据它的历史数据,仍有可能用时间序列的方法对未
Since the mid-1970s, predictive control has been rapidly developed and has been successfully applied in industrial processes. However, it is not enough to study the mechanism of strong robustness. This paper mainly analyzes one of the most prominent advantages of predictive control - robustness - that is, the ability to keep control performance within permissible range in the event of mismatch between the mathematical model of the system and the actual process is superior to the traditional The reason for optimal control. According to the analysis, although the model mismatch in the real system can not be predicted, based on its historical data, it is still possible to use the time series method