Robust decentralized adaptive output feedback fuzzy controller design and application to AHS  

作　　者：Yishao Huang Dequn Zhou Xiaoxin Chen Xueyun Chen Zhengwu Wang 

机构地区：[1]College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China [2]School of Traffic and TransportationEngineering, Changsha University of Science and Technology, Changsha 410114, P. R. China [3]School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, E R. China [4]Department of Economics and Management, Chuzhou University, Chuzhou 239000, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2010年第5期842-849,共8页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China (60964004;60864004;50808025);the Fok Ying Tung Education Foundation (122013);the Scientific Research Fund of Hunan Provincial Education Department (08A003)

摘　　要：A novel decentralized indirect adaptive output feedback fuzzy controller is developed for a class of large-scale uncertain nonlinear systems using error filtering.By the properly filtering of the observation error dynamics,the strictly positive-real condition is guaranteed to hold such that the proposed output feedback and adaptation mechanisms are practicable in practice owing to the fact that its implementation does not require the observation error vector itself any more,which corrects the impracticable schemes in the previous literature involved.The presented control algorithm can ensure that all the signals of the closed-loop large-scale system keep uniformly ultimately bounded and that the tracking error converges to zero asymptotically.The decentralized output feedback fuzzy controller can be applied to address the longitudinal control problem of a string of vehicles within an automated highway system（AHS） and the effectiveness of the design procedure is supported by simulation results.A novel decentralized indirect adaptive output feedback fuzzy controller is developed for a class of large-scale uncertain nonlinear systems using error filtering.By the properly filtering of the observation error dynamics,the strictly positive-real condition is guaranteed to hold such that the proposed output feedback and adaptation mechanisms are practicable in practice owing to the fact that its implementation does not require the observation error vector itself any more,which corrects the impracticable schemes in the previous literature involved.The presented control algorithm can ensure that all the signals of the closed-loop large-scale system keep uniformly ultimately bounded and that the tracking error converges to zero asymptotically.The decentralized output feedback fuzzy controller can be applied to address the longitudinal control problem of a string of vehicles within an automated highway system（AHS） and the effectiveness of the design procedure is supported by simulation results.

关 键 词：large-scale nonlinear system fuzzy control output feedback decentralized control strictly positive real（SPR） condition automated highway system（AHS）. 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置] TP13[自动化与计算机技术—控制科学与工程]