Recursive approach to solving problems from systems and control

被引:0
作者
机构
[1] Key Laboratory of Systems and Control, Institute of Systems Science, Academy of Mathematics and Systems Science, Beijing
[2] National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences, Beijing
来源
Chen, Han-Fu (hfchen@iss.ac.cn) | 1663年 / South China University of Technology卷 / 31期
关键词
Adaptive regulation; Recursive solution; Stochastic approximation; System and control; System identification;
D O I
10.7641/CTA.2014.40749
中图分类号
学科分类号
摘要
A recursive approach to solving a large class of problems arising from systems and control and other areas is introduced. The essence of the method consists of three steps: First, the problem under consideration is parameterized; Second, an appropriate recursive parameter estimation method is selected; Finally, the recursive estimate is proved to converge to the sought-for value. In the paper, parametrization of two problems from systems and control is demonstrated. To serve as the recursive estimation method, the stochastic approximation algorithm with expanding truncations (SAAWET) is introduced, and its general convergence theorem is presented. Then, the two parameterized problems from system and control are actually solved by the proposed approach. The attached numerical examples have justified the method. As a matter of fact, a series of problems from systems and control and other related areas have successfully been solved by the approach. ©, 2014, South China University of Technology. All right reserved.
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页码:1663 / 1670
页数:7
相关论文
共 24 条
  • [1] Robbins H., Monro S., A stochastic approximation method, Ann Math Static, 22, 3, pp. 400-407, (1951)
  • [2] Chen H.F., Stochastic Approximation and Its Applications, (2002)
  • [3] Chen H.F., Zhao W.X., Recursive Identification and Parameter Estimation, (2014)
  • [4] Chen H.F., Zhu Y.M., Stochastic approximation procedures with randomly varying truncations, Scientia Sinica (Series A), 29, 9, pp. 914-926, (1986)
  • [5] Chen H.F., New approach to identification for ARMAX systems, IEEE Transactions on Automatic Control, 55, 4, pp. 868-879, (2010)
  • [6] Chen X.M., Chen H.F., Recursive identification for MIMO Hammerstein systems, IEEE Transactions on Automatic Control, 56, 4, pp. 895-902, (2011)
  • [7] Chen X., Fang H.T., Recursive identification for Hammerstein systems with state-space model, Acta Automatica Sinica, 36, 10, pp. 1460-1467, (2010)
  • [8] Hu X.L., Chen H.F., Identification forWiener systems with RTF subsystems, European Journal of Control, 12, 6, pp. 581-594, (2006)
  • [9] Mu B.Q., Chen H.F., Recursive identification of Wiener-Hammerstein systems, SIAM Journal of Control Optimation, 50, 5, pp. 2621-2658, (2012)
  • [10] Mu B.Q., Chen H.F., Recursive identification of MIMO Wiener systems, IEEE Transactions on Automatic Control, 58, 3, pp. 802-808, (2013)