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Object Description
| Contact Information | Please send any questions regarding this item to libref@uno.edu |
| Title | Fuzzy logic and its application to the control of an inverted pendulum |
| Author | Bergeron, David A. |
| Abstract/Introduction | Although fuzzy logic was first introduced almost 30 years ago, only in the last few years has it gained the recognition it has long deserved. There are quite a few reasons, which will be discussed later, why fuzzy logic has gotten the "cold shoulder" from the engineering profession. Nevertheless, fuzzy logic has proven to be very powerful in mimicking the vague reasoning of the human mind. Artificial intelligence experts have long sought algorithms to realize this goal, but traditional artificial intelligence systems rely on binary logic. But, humans don't normally think in terms of binary logic. Humans have the ability to detect the grey area between total truthness and total falseness, distinguishing between shades of meaning. In other words, humans tend to use fuzzy logic. |
| Access | PDF access restricted to UNO campus only |
| Degree | B.S. |
| Degree Program | Electrical Engineering |
| Department | Department of Electrical Engineering |
| Thesis Advisor | Trahan Jr.; Russell E. |
| Advisory Committee | Riemer, Terry E.; Mooney, Michael E. |
| Date Degree Awarded | 1994; * |
| Rights | The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this thesis in whole or in part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis. |
| Notes | April 15, 1994; approved May 11, 1994. |
| Object File Name | st000065 |
| Viewer Information | Adobe Reader required for viewing (http://www.adobe.com) |
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