Abstract
This paper deals with the optimization of the bilinear matrix inequality problems by using an improved path-following method. First, the existing path-following method is depicted in detail, including its implementation and limit. Then, based on a new linearization method, an improved path-following method is given. In order to enhance the ability of global optimization, a wide range of perturbation steps is added. Both methods are implemented on static output feedback control problems. Finally, a numerical example is presented to show that the convergence and optimization ability of the improved path-following method are better than the existing one.
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Acknowledgments
This work was supported in part by the National Natural Science Foundation of China (61174033, 61473160) and in part by the Natural Science Foundation of Shandong Province, China (ZR2011FM006).
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Chen, J., Lin, C. (2015). BMI Optimization Based on Improved Path-Following Method in Control. In: Deng, Z., Li, H. (eds) Proceedings of the 2015 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46463-2_15
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DOI: https://doi.org/10.1007/978-3-662-46463-2_15
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