Parameter Optimization of Model Predictive Control by PSO
Author:
Affiliation:
1. Graduate School of Science and Technology, Keio University
2. Fuji Electric Advanced Technology
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
https://www.jstage.jst.go.jp/article/ieejeiss/129/3/129_3_432/_pdf
Reference8 articles.
1. (2) M. Oshima, I. Hashimoto, and H. Ouno: “Model Predictive Control -Stability and Guideline in a SISO System”, Kagaku Kogaku Ronbunshu, Vol. 16, No. 1, pp. 83-91 (1990) (in Japanese)
2. (3) J. Kennedy and R. C. Eberhart: “Particle Swarm Optimization”, Proc. IEEE Int'l Conf. on Neural Networks, Vol. 4, pp. 1942-1948 (1995)
3. (4) J. Kennedy and R. C. Eberhart: “Swarm Intelligence”, Morgan Kaufmann Publ. (2000)
4. (5) S. L. S. Jacoby, J. S. Kowalik, and J. T. Pizzo: “Iterative Methods for Nonlinear Optimizationi Problems”, Prentice-Hall (1972)
5. (6) Z. L. Gaing: “A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR System”, IEEE Trans. on Energy Conversion, Vol. 19, No. 2, pp. 384-391 (2004)
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