Abstract
The real time control of a nonlinear dynamic system using intelligent control techniques is considered. The focus is to investigate the current neuro-fuzzy approaches from literature and adapt them to a specific application. The nonlinear dynamic system considered here is an unstable balance beam system that contains two fluid tanks, one at each end, and the balance is achieved by pumping the fluid back and forth from the tanks. The proposed controller is a six layer network, called Generalized Network-based Fuzzy Inferencing Systems (GeNFIS) is developed based on the popular approach, called ANFIS (Adaptive Networks-based Fuzzy Inference Systems). GeNFIS is tested on the balance beam system, both in a real-time actual experiment and the simulation, and is found to be successful under supervised learning. Results of testing different versions of GeNFIS on the balance beam system are presented.
Original language | English (US) |
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Pages | 210-214 |
Number of pages | 5 |
State | Published - 1996 |
Externally published | Yes |
Event | Proceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing Society - NAFIPS - Berkeley, CA, USA Duration: Jun 19 1996 → Jun 22 1996 |
Other
Other | Proceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing Society - NAFIPS |
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City | Berkeley, CA, USA |
Period | 6/19/96 → 6/22/96 |
All Science Journal Classification (ASJC) codes
- General Engineering