cqvip:In recent years, smart process manufacturing has attracted increasing attention from both academia and industry around the world. Together with academia and industry, various governments have released their strategic plans for smart manufacturing, which has the key aim of realizing the upgrading and transformation of the process industry by means of knowledge-integrated planning, scheduling, and process optimization based on industrial internet of things. However, in order to achieve intelligent, autonomous,and regulated control in process manufacturing systems, the industry must confront many problems—including multi-scale coupling, human–cyber–physical interaction, and multi-objective optimization with strong constraints—from the varying perspectives of intelligent perception, autonomous control, and smart decision-making.
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Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China;
