On the basis of analysis of the different characteristics between process industries and discrete manufacturing industries, as well as the different targets of smart manufacturing, a meaning for smart optimal manufacturing for process industries aimed at high efficiency and greening is proposed. The developmental direction of industrial process control systems is smart optimal control systems. This paper surveys the research status of control, optimization, fault diagnosis, and self-recovery control methods for process industries and the implementation technology of control systems, and presents the development directions required to realize the vision functions of smart optimal control systems. The direction for further research on industrial process control systems is the theory and technology of intelligent optimal control systems with functions in terms of adaptivity, self-learning, and safe and reliable optimal operation, based on the actual needs of process industries in China. Issues for future research on intelligent optimal control systems are also outlined before concluding the paper.
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Tianyou Chai (2016) studied this question.