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

作　　者：Huang Yishao Zhou Dequn Chen Xiaoxin Du Lin 

机构地区：[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

出　　处：《Journal of Systems Engineering and Electronics》2009年第4期790-799,共10页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(90510010).

摘　　要：A novel H∞ tracking-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.A novel H∞ tracking-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.

关 键 词：large-scale nonlinear system fuzzy control fuzzy adaptive observer decentralized control H∞ tracking performance. 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置] N94[自动化与计算机技术—控制科学与工程]