In the last three decades, artificial intelligence (AI) has been increasingly and vigorously utilized for process control in chemical, biochemical, and biomedical engineering. These disciplines frequently involve fairly sophisticated processes under risks of operational upsets, and thus have an ever increasing demand of superior control strategies. As the deployment of AI in process control pushes the limits in this regard, the research advances, which are multitudinous and varied, need to be assimilated and organized to help promote further utilization and progress in the field. To that end, we examine more than 280 relevant research publications, and systematically collate the information. The AI-based technologies are classified, and their over-arching control paradigm is presented. Common AI-based control technologies are then presented, which are based on expert systems, fuzzy logic, artificial neural networks, nature-inspired algorithms, and hybrid approaches. Their working principles, types, and implementations are summarized along with advantages, limitations, and comparisons, if available. Important applications in the above disciplines are included with the help of tables that capture important details. A discussion is also provided on advanced and newly emerging AI-based control technologies with pertinent applications. Overall trends are analyzed, and future prospects are identified based on the survey.

中文翻译：

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化学、生化和生物医学工程中基于人工智能的过程控制

在过去的三年中，人工智能 (AI) 越来越多地被用于化学、生化和生物医学工程的过程控制。这些学科经常涉及处于运营混乱风险下的相当复杂的过程，因此对卓越的控制策略的需求不断增加。由于人工智能在过程控制中的部署推动了这方面的极限，需要吸收和组织大量多样的研究进展，以帮助促进该领域的进一步利用和进步。为此，我们检查了 280 多篇相关研究出版物，并系统地整理了信息。对基于 AI 的技术进行了分类，并展示了它们的总体控制范式。然后介绍常见的基于人工智能的控制技术，它们基于专家系统、模糊逻辑、人工神经网络、自然启发算法和混合方法。总结了它们的工作原理、类型和实现以及优点、局限性和比较（如果有）。上述学科中的重要应用程序都包含在捕获重要细节的表格的帮助下。还讨论了具有相关应用的先进和新兴的基于人工智能的控制技术。分析总体趋势，并根据调查确定未来前景。上述学科中的重要应用程序都包含在捕获重要细节的表格的帮助下。还讨论了具有相关应用的先进和新兴的基于人工智能的控制技术。分析总体趋势，并根据调查确定未来前景。上述学科中的重要应用程序都包含在捕获重要细节的表格的帮助下。还讨论了具有相关应用的先进和新兴的基于人工智能的控制技术。分析总体趋势，并根据调查确定未来前景。