Intelligent Control Systems in Engineering: Applications and Challenges

Authors

  • U.R.Prasad Varma, aghannath.K, S. Balamuralitharan, Santhoshkumar S., Someshwar Siddi, M V B Murali Krishna M

Keywords:

Intelligent Control, Adaptive Systems, Fuzzy Logic, Neural Networks, Control Engineering, Autonomous Systems, ANFIS, Predictive Control, Real-Time Systems

Abstract

Intelligent control systems have transformed engineering domains by introducing autonomous, adaptable and efficient mechanisms in challenging environments. These systems rely on artificial intelligence and machine learning to improve automation, anticipate operational failures, increase fault resilience and optimize processes. This study investigates the development and implementation of intelligent control systems across areas like robotics, manufacturing, aerospace and power systems. It outlines the key differences between traditional and intelligent control techniques and explores the main obstacles associated with the challenges of real-time operation, computational burden, system stability and ethical considerations. The future of intelligent control systems lies in exploration and development of advanced architectures.

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Published

09.07.2024

How to Cite

U.R.Prasad Varma. (2024). Intelligent Control Systems in Engineering: Applications and Challenges. International Journal of Intelligent Systems and Applications in Engineering, 12(22s), 2133–2139. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7575

Issue

Vol. 12 No. 22s (2024)

Section

Research Article

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