Application of Evolutionary Optimization Techniques in Control Systems Identification
| Autor: | N. Mort, G.G. Kulikov, Valentin Arkov, Timofei Breikin |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
Engineering
Mathematical optimization business.industry Design of experiments Computer Science::Neural and Evolutionary Computation SIGNAL (programming language) Quality control and genetic algorithms System identification Control engineering Multi-objective optimization Identification (information) Control system Test functions for optimization business |
| Zdroj: | IFAC Proceedings Volumes. 33:29-34 |
| ISSN: | 1474-6670 |
| DOI: | 10.1016/s1474-6670(17)39598-8 |
| Popis: | An application of evolutionary optimization techniques is considered for the dynamic model identification of gas turbine engines. First, the parameters of the test signal are optimally chosen to meet the experiment design specifications. Second, the dynamic model coefficients are identified using Pareto optimization with genetic algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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