Future advancements in predictive control for catalysis will likely involve the integration of Machine Learning and Artificial Intelligence to improve model accuracy and adaptability. The development of more sophisticated sensors and data analytics tools will also enhance the real-time monitoring and control capabilities. Additionally, collaborative efforts between academia and industry will be essential for translating these advancements into practical applications.
