Journal of Systems Engineering and Electronics ›› 2009, Vol. 20 ›› Issue (4): 790-799.

• CONTROL THEORY AND APPLICATION • Previous Articles     Next Articles

H tracking design for a class of decentralized nonlinear systems via fuzzy adaptive observer

Huang Yishao1,2, Zhou Dequn1, Chen Xiaoxin3 & Du Lin4   

  1. 1. Coll. of Economics and Management, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, P. R. China;
    2. School of Traffic and Transportion Engineering, Changsha Univ. of Science and Technology, Changsha 410004, P. R. China;
    3. School of Information Technology, Jiangxi Univ. of Finance and Economics, Nanchang 330013, P. R. China;
    4. School of Information and Communication Engineering, North Univ. of China, Taiyuan 030051, P. R. China
  • Online:2009-08-14 Published:2010-01-03


A novel Htracking-based decentralized indirect adaptive output feedback fuzzy controller for a class of uncertain large-scale nonlinear systems is developed. By virtue of the proper filtering of the observation error dynamics, the observer-based decentralized indirect adaptive fuzzy control scheme is presented for a class of large-scale nonlinear systems using the combination of H∞ tracking technique, a fuzzy adaptive observer and fuzzy inference systems. The output feedback and adaptation mechanisms are both robust and implementable indeed owing to their freedom from the unavailable observation error vector. All the signals of the closed-loop largescale system are guaranteed to stay uniformly bounded and the output errors take on H∞ tracking performance. Simulation results substantiate the effectiveness of the proposed scheme.