Adaptive functional link network control of near-space vehicles with dynamical uncertainties

作     者：Yanli Du Qingxian Wu Changsheng Jiang Jie Wen 

作者机构：College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 E R. China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2010年第21卷第5期

页      面：868-876页

核心收录：

学科分类：0711[理学-系统科学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 081201[工学-计算机系统结构] 071102[理学-系统分析与集成] 081103[工学-系统工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China (90716028 60974106) 

主　　题：adaptive control system dynamical uncertainties partially feedback functional link network near-space vehicle. 

摘      要：The control law design for a near-space hypersonic vehicle（NHV） is highly challenging due to its inherent nonlinearity,plant uncertainties and sensitivity to *** paper presents a novel functional link network（FLN） control method for an NHV with dynamical thrust and parameter *** approach devises a new partially-feedback-functional-link-network（PFFLN） adaptive law and combines it with the nonlinear generalized predictive control（NGPC） *** PFFLN is employed for approximating uncertainties in *** weights are online tuned based on Lyapunov stability theorem for the first *** learning process does not need any offline training ***,a robust controller with an adaptive gain is designed to offset the approximation ***,simulation results show a satisfactory performance for the NHV attitude tracking,and also illustrate the controller＇s robustness.