Artificial Intelligence

    

Fuzzy Logic: a Modern Approach to Control System Architecture

Authors: Kalu Kelechi Gabriel

Control systems have been in existence for quite a long time now. The oldest and unarguably the best of these is the human brain. Some popular control methodologies are PID control, Bayesian control, neural networks, etc. The drawbacks of these are however lead by a striking point that all of them are either based on Boolean or multi-valued logic, which is no more than a threshold or point-to-point logic. This work tends to introduce fuzzy logic control as a paradigm shift, this control method would to a large extent provide a physical model of the human brain. The distinction is that it is not only multi-valued logic but also a ‘degree’ based logic. This paper would give a basic overview of a fuzzy control system and its physical implementation considerations.

Comments: 7 Pages.

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Submission history

[v1] 2020-05-08 07:28:57

Unique-IP document downloads: 243 times

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