Journal of Artificial Intelligence, Machine Learning and Soft Computing

Authors: Rahul Sharma, Neha Verma, Rohit Singh

Abstract: Fuzzy logic has emerged as a powerful tool for dealing with uncertainties in control systems, especially in environments where precise mathematical models are unavailable. This paper explores the application of fuzzy logic in designing robust control systems for industrial instrumentation. The use of fuzzy controllers in processes such as chemical plants, robotics, and automotive systems is discussed, along with their advantages over traditional control methods. Several case studies highlight the role of fuzzy logic in improving system adaptability and resilience.

Keywords: Fuzzy Logic, Robust Control, Uncertainty, Industrial Systems, Adaptability