Advancements in AI-Based Process Control for Real-Time Industrial Applications

Abstract

The adoption of artificial intelligence (AI) in industrial automation has enabled remarkable advancements in process control, allowing industries to improve productivity, precision, and efficiency. AI-driven process control systems, which include machine learning algorithms, predictive maintenance models, and real-time data analytics, have the potential to transform industrial applications. This article delves into the advancements in AI-based process control systems, with a focus on real-time applications, discussing key technologies, benefits, challenges, and future prospects in various industries, such as manufacturing, energy, pharmaceuticals, and automotive.