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BMI Optimization Based on Improved Path-Following Method in Control

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 337))

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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References

  1. Ibaraki S, Tomizuka M (2001) Rank minimization approach for solving BMI problems with random search. In: Proceedings of the American control conference, Arlington, VA, pp 1870–1875

    Google Scholar 

  2. Blondel VD, Tsitsiklis JNT (1997) NP-hardness of some linear control design problems, SIAM J Control Signals Syst 35(21):18–27

    Google Scholar 

  3. Fukuda M, Kojima M (2001) Branch-and-cut algorithms for the bilinear matrix inequality eigenvalue problem. Comput Optim Appl 19(19):79–105

    Article  MATH  MathSciNet  Google Scholar 

  4. Kawanishi M, Shibata Y (2007) BMI global optimization using parallel branch and bound method with a novel branching method. In: Proceeding of the 2007 American control conference, New York City, USA, pp 1664–1669, 11–13 July 2007

    Google Scholar 

  5. Toscano R (2006) A simple method to find a robust output feedback controller by random search approach. ISA Trans 45(1):35–44

    Article  MathSciNet  Google Scholar 

  6. He Y, Wang QG (2006) An improved ILMI method for static output feedback control with application to multivariable PID control. IEEE Trans Autom Control 51(10):1678–1683

    Article  Google Scholar 

  7. Shu Z, Lam J (2008) An augmented system approach to static output-feedback stabilization with H performance for continuous-time plants. Int J Robust Nonlinear Control 19(7):768–785

    Google Scholar 

  8. Cao YY, Lam J, Sun YX (1998) Static output feedback stabilization: an ILMI approach. Automatica 34:1641–1645

    Article  MATH  Google Scholar 

  9. Xu T, Yang X, Zuo W, Hao L (2010) Fuzzy static output feedback control based on iterative linear matrix inequality. J Jilin Univ (Eng Technol Ed) 40(3):795–799 (in Chinese)

    Google Scholar 

  10. Shimomura T, Fujii T (2005) Multiobjective control via successive over-bounding of quadratic terms. Int J Robust Nonlinear Control 15:363–381

    Article  MATH  MathSciNet  Google Scholar 

  11. Hassibi A, How JP, Boyd SP (1999) A path-following method for solving BMI problems in control. In: Proceedings of the American control conference, Evanston, IL, pp 1385–1389

    Google Scholar 

  12. Ostertag E (2008) An improved path-following method for mixed H2/H controller design. IEEE Trans Autom Control 53(8):1967–1971

    Article  MathSciNet  Google Scholar 

  13. Ostertag E (2008) Continuous-and discrete-time path-following design of mixed H2/H∞ state-feedback controllers. In: Proceeding of the 17th World Congress: the international federation of automatic control, Seoul, Korea, pp 3988–3993, 6–11 July 2008

    Google Scholar 

  14. Ostertag E (2012) Path-following H2/H∞ design of dynamic output-feedback controllers via LMI’s. In: 51st IEEE conference on decision and control, Maui, Havaii, USA, pp. 644–649, Dec 2012

    Google Scholar 

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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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Correspondence to Chong Lin .

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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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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46462-5

  • Online ISBN: 978-3-662-46463-2

  • eBook Packages: EngineeringEngineering (R0)

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