Workshop: Fuzzy Logic Control Using Matlab
 

SPEAKER: Naveed Ahmed, FAST-National University of Computer and Emerging Sciences, Lahore. SCHEDULE: Wednesdays, 9 and 16 April, 1 pm. VENUE: Lab 2, Computer Science Department, University of Lahore, Lahore.


Introduction to Fuzzy Logic:

The assumption that all engineering system modeling can be reduced to exact set of differential equations has been challenged by research that recognizes that process modeling and control can never be exact for real processes. There is a necessity for advanced control techniques that can

§ Manage Uncertain Environment
§ Incorporate techniques for learning uncertain information

Over the last few years the application of Artificial Intelligence techniques has become a major research topic in process control. AI techniques allow obtaining efficient controllers that utilize human experience in more related form than mathematical approach. Fuzzy Logic (FL) is the main topic of this new field known as Expert Control. It provides an effective framework for dealing with uncertain and vague environment. It uses Fuzzy Logic Controllers (FLCs) to implement an operator approximate reasoning process in the selection of control process. According to a survey 6 of every 10 Americans use a device that employ FLC in some form. In Japan, Fuzzy Logic has been used to control under ground railway systems. FLC are also being used extensively in consumer electronics like Air conditioners, Microwave ovens, Cameras etc.

Complete transcripts: Fuzzy Logic Control Using Matlab Part I, Part II
  ALSO SEE: A Tutorial on Neural Nets, Muhammad Abu Bakr.
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