Abstract
Soft Computing Technique mainly consisting of ANN, Fuzzy system and GA. GA optimization is slow and depending on the number of variables. To improve the convergence of GA, a modification in normal GA is proposed in which the GA parameters like cross over probability(Pc), mutation probability (Pm) and population size (POPSIZE) are modified using fuzzy system dynamically during execution. The proposed integrated approach of GA-Fuzzy is used for system identification of single machine infinite bus system and the results are compared with conventional ARX and ARMAX methods.
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Chaturvedi, D.K., Vijay, H., Kumar, S. (2012). System Identification of Single Machine Infinite Bus Using GA-Fuzzy Technique. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 130. Springer, India. https://doi.org/10.1007/978-81-322-0487-9_11
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DOI: https://doi.org/10.1007/978-81-322-0487-9_11
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