Abstract
This paper describes the use of a genetic algorithm (GA) in tuning a double-level modular fuzzy logic controller (DLMFLC), which can expand its control working zone to a larger spectrum than a single-level FLC. The first-level FLCs are tuned by a GA so that the input parameters of their membership functions and fuzzy rules are optimized according to their individual working zones. The second-level FLC is then used to adjust contributions of the first-level FLCs to the final output signal of the whole controller, i.e., DLMFLC, so that it can function in a wider spectrum covering all individual working zones of the first-level FLCs. The second-level FLC is again optimized by a GA. An inverted pendulum system (IPS) is used to demonstrate the feasibility of the approach.
| Original language | English |
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| Title of host publication | Genetic and Evolutionary Computation Conference 2007 |
| Number of pages | 8 |
| Publication date | 2007 |
| Pages | 1880-1887 |
| Publication status | Published - 2007 |
| Event | 2007 Genetic and Evolutionary Computation Conference - London, United Kingdom Duration: 7 Jul 2007 → 11 Jul 2007 http://www.informatik.uni-trier.de/~ley/db/conf/gecco/gecco2007.html |
Conference
| Conference | 2007 Genetic and Evolutionary Computation Conference |
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| Country/Territory | United Kingdom |
| City | London |
| Period | 07/07/2007 → 11/07/2007 |
| Internet address |