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由于复杂工业系统多数难以建模,基于数据驱动的控制与优化近年来受到广泛关注。实际上,基于数据的控制研究已有一段时间,关于基于数据的控制发展方面的较全面综述可参考[1]。此外,某期刊集中刊登了关于基于数据的控制、调度、优化、故障诊断和容错控制方面的专辑。在这篇通讯中,仅就所了解的几个方面,结合研究介绍对这一方向认识及可能的发展,如随机分布控制,基于数据的运行控制,(max,+)代数,脑电信息与过程数据的融合问题等,不到之处敬请谅解与更正。
Due to the difficulty of modeling complex industrial systems, data-driven control and optimization have drawn much attention in recent years. In fact, data-based control studies have been around for some time and reference is made to a more comprehensive overview of data-based control development [1]. In addition, an issue featured a collection of albums focused on data-based control, scheduling, optimization, troubleshooting, and fault tolerance control. In this newsletter, we consider the several aspects that we have learned, combined with the research described in this direction and possible developments such as stochastic distribution control, data-based operational control, (max, +) algebra, EEG and Process data integration issues, etc., please forgive and correct.