A Study on Optimization of the Intelligent Control System using AI

With the advancement of research and the generation of knowledge, artificial intelligence has developed into a useful tool in many industries. Big data processing and increased productivity have introduced new difficulties in the development and use of control systems. Real-time decision-making is crucial in some systems, whereas communication among humans and machines is necessary in others. A survey of mechatronics-related artificial intelligence techniques is provided in this work. The first section of this article reviews and discusses the top intelligent control strategies used in technological systems, comprising learning by reinforcement, fuzzy thinking, artificial neural networks, optimization strategies, and adaptive control approaches. The remainder of the article examines how intelligent techniques have been used to solve engineering control issues, iterative learning, parametric optimization, authentication, controllers tuning, and such control problems as stabilization.