Artificial intelligence (AI) is not a fancy term anymore, or not limited to only researchers and academia. AI is currently becoming a part and parcel of our daily life, we are using AI/ intelligent systems by knowing or without knowing. Event product manufacturers are also trying to incorporate AI with their products to make it more preferable to consumers and trying to get the full benefit of using AI in their production and control units even for business decisions. Therefore, In our paper, we give a comprehensive survey of recent advances in Computational intelligence in industrial Control Systems and cover many usages of how industrial Control Systems are getting benefits from using Computational intelligence. We covered multiple domains like Manufacturing,  Energy Management,  Transportation, Food and Beverage Industry, and Pharmaceutical Industry, how these industries are utilizing multiple CI-based control systems like Programmable Logic Controllers, Distributed Control Systems, Supervisory Control and Data Acquisition, Industrial Automation, and Control Systems, Intelligent Electronic Devices and found benefits in their operations and manufacturing which helping them to focus more in innovation and improvement of their products. We believe that this survey shall be valuable to researchers across academia and industry.

Transformative developments have been brought in across a number of industries. Digital twin technologies are one of them. This revolutionary innovation has enhanced efficiency, optimized production, and elevated product design to new heights. Nevertheless, as industries embrace the potential of digital twins, cybersecurity concerns come to the forefront due to the convergence of physical and virtual realms. By addressing cybersecurity challenges effectively, industries can fully capitalize on the transformative capabilities of digital twin technology, driving competitiveness and resilience in the face of evolving digital landscapes. Our research explores the various industrial applications of digital twin technology. It also highlights the urgent need for strong cybersecurity measures. Secure data transmission, access control, encryption, and threat detection become crucial elements that must be ensured in order for digital twin systems in the industrial sector.