An Improved Method for MRAC System of Indirectly Designed

  • Han Huishan
  • Liu Yan
  • Cheng Defang
  • Gao Xue
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 163)


Based on Lyapunov stability theorem, a MRAC system was researched to solve that differential value of plant output is unknown. Meanwhile an improved design for MRAC system aimed on the factor of restricting convergence of system is given. The method not only solves the problem that makes the system cannot work well as a result of the adjustable parameters, but also improves the convergence of plant. The simulation graphs have shown that the plant can follow the output of the reference model quit well


MRAC system Lyapunov theory Convergence 


  1. 1.
    Li Xuesong, Li Yinghui, Li Xia et al (2011) Arbitrary reference model following adaptive control based on neural network. Syst Eng Electron 33(1):162–165Google Scholar
  2. 2.
    Landau ID (1985) Adaptive control—model reference, vol 27. Wu Bo-fan translate, National Defence Industry press, Beijing, pp 366–372Google Scholar
  3. 3.
    Liu Xiao-jing, Yi Jian-qiang, Zhao Dong-bin (2005) Simple scheme for MRAC system using Lyapunov theory. J Syst Simul 8(17):1933–1935Google Scholar
  4. 4.
    Wu Shi-chang, Wu Zhong-qiang (2005) Adaptive control, vol 12. China Machine Press, Beijing, pp 38–43Google Scholar
  5. 5.
    Bai Yulong, Yang Lijun, Cai Qianlong (2011) Model reference adaptive control based on system identification. Autom Instrum 3:23–26Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Xingtai Polytechnic CollegeXingtaiChina
  2. 2.Key Lab of Industrial Computer Control Engineering of Hebei ProvinceYanshan UniversityQinhuangdaoChina

Personalised recommendations