碩士 / 國立成功大學 / 造船及船舶機械工程學系 / 88 / Abstract
Genetic algorithm (GA) is well known as a numerical method and is widely applied in various optimal problems. Note that if the searched set is getting wider or the fitness function selected has higher degree of no linearity, the G.A. solutions become quite different with respond to the setting parameters, which are composed of population size、crossover rate、mutation rate and the remaining size of parent in G.A..
By demonstrating the G.A. method with an easy example first, we apply it to the ship-sailing H∞-control problems by utilizing it to select the weighting matrices in H∞-control formulation. Results reveal that the G.A. method can a better set of optimal weighting functions in ship-sailing control problems but also show good feasibility and superiority.
This research uses Genetic algorithms to search for the best combination of the weighting function so that the closed-loop system becomes more robust and has ether tracking precision under uncertainties.
| Identifer | oai:union.ndltd.org:TW/088NCKU0345020 |
| Date | January 2000 |
| Creators | Peng Yang, 楊朋 |
| Contributors | Cheng-Neng Hwang, 黃正能 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 91 |
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