Citation: | HU Xueshu, LIU Yusheng. Design of Robust Adaptive Observer for Nonlinear Large-Scale Systems[J]. INFORMATION AND CONTROL, 2010, 39(6): 707-713. |
[1] |
Xia X H,Guo W B.Nonlinear observer design by observer error linearization[J].SIAM Journal on Control and Optimization,1989,27(2):199-216.
|
[2] | |
[3] | |
[4] |
朱瑞军,柴天佑,伏静丹,等.基于动态神经网络的非线性系统鲁棒观测器设计[J].信息与控制,1998,27(6):423-426.Zhu R J,Cai T Y,Fu J D,et al.Robust observer design for a class of nonlinear systems using current dynamic neural networks[J].Information and Control,1998,27(6):421-425.
|
[5] |
杨晋勇,贾英民.基于动态递归神经网络的一类非线性不确定系统的自适应观测器[J].控制与决策,2002,17(1):88-91,95.Yang J Y,Jia Y M.Adaptive observer for a class of nonlinear uncertain systems based on dynamical neural networks[J].Control and Decision,2002,17(1):88-91,95.
|
[6] | |
[7] |
Jung J,Huh K,Fathy H K,et al.Optimal robust adaptive observer design for a class of nonlinear system via H∞ approach[C]//Proceedings of the 2006 American Control Conference.Piscataway,NJ,USA:IEEE,2006:3637-3642.
|
[8] |
Marino R,Santosuosso G L,Tomei P.Robust adaptive observers for nonlinear systems with bound disturbances[J].IEEE Transactions on Automatic Control,2001,46(6):967-972.
|
[9] |
张嗣瀛.复杂控制系统的对称性及相似性结构[J].控制理论与应用,1994,11(2):231-236.Zhang S Y.Symmetric and similar structures of complex control systems[J].Control Theory and Applications,1998,24(6):231-236.
|
[10] |
Anderson B D,Clements D J.Algebraic characterization of fixed models in decentralized control[J].Automatica,1981,17(7):703-712.
|
[11] | |
[12] |
严星刚,戴冠中,张嗣瀛.一般非线性相似组合大系统的渐近观测器[J].自动化学报,1998,27(6):789-792.Yan X G,Dai G Z,Zhang S Y.An observer for a class of nonlinear similar composite systems[J].Acta Automatica Sinica,1998,27(6):789-792.
|
[13] |
王银河,黎阳生,刘粉林,等.一类广义相似组合系统的鲁棒渐近观测器设计[J].控制与决策,1999,14(6):680-683.Wang Y H,Li Y S,Liu F L,et al.A robust observer for a class of similar composite systems[J].Control and Decision,1999,14(6):680-683.
|
[14] |
刘恩东,井元伟,张嗣瀛.基于动态神经网络的非线性组合系统自适应观测器[J].控制与决策,2004,19(7):764-767.Liu E D,Jing Y W,Zhang S Y.Adaptive observer of nonlinear composite systems based on networks[J].Control and Decision,2004,19(7):764-767.
|
[15] |
向峥嵘,陈庆伟,胡维礼.一类非线性大系统的鲁棒变结构观测器[J].系统工程与电子技术,2006,28(3):418-420.Xiang Z R,Chen Q W,Hu W L.Robust variable structure observer for a class of nonlinear large-scale systems with uncertainties[J].Systems Engineering and Electronics,2006,28(3):418-420.
|
[16] |
Khalil H K.Nonlinear systems[M].3rd Edition.Englewood Cliffs,NJ,USA:Prentice-Hall,2002.
|
[17] |
[1] | NIU Yu-gang, YANG Cheng-wu, ZHAO Jian-cong. A CLASS OF FLEXBLE MANUFACTURING SYSTEM ROBUSTNESS[J]. INFORMATION AND CONTROL, 1999, 28(6): 425-429. |
[2] | ZHU Ruijun, CHAI Tianyou, FU Jingdan, HU Weili. ROBUST OBSERVER DESIGN FOR A CLASS OF UNCERTAIN NONLINEAR SYSTEMS USING RECURRENT DYNAMIC NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 1998, 27(6): 423-426. |
[3] | ZHOU Yong, DAI Qionghai, CHAI Tianyou, YU Heji. ROBUST DIRECT ADAPTIVE CONTROL BASED ON DYNAMICAL NEURAL NETWORK[J]. INFORMATION AND CONTROL, 1998, 27(4): 272-276. |
[4] | LIANG Jun, TU Li. A SURVEY ON ROBUSTNESS OF ADAPTIVE CONTROL SYSTEMS[J]. INFORMATION AND CONTROL, 1998, 27(3): 197-205. |
[5] | DAI Qionghai, WU Junmin, ZHU Jiang, LI Yangda. ROBUST ADAPTIVE TRACKING BASED ON DYNAMIC DYNAMIC NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 1998, 27(2): 101-109. |
[6] | DAI Qionghai, ZHANG Tao, LI Y. ROBUST IDENTIFICATION BASED ON DYNAMIC NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 1997, 26(5): 353-359. |
[7] | DAI Qionghai, CHAI Tianyou, ZHANG Tao, ZHU Ruijun, SHAO Cheng. ADAPTIVE CONTROL OF A CLASS OF UNKNOWN MULTIVARIABLE NONLINEAR SYSTEM BASED ON DYNAMICAL NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 1996, 25(6): 332-338. |
[8] | CAO Yongyan, SUN Youxian. THE ANALYSIS OF ROBUSTNESS FOR LINEAR SYSTEMS WITH STRUCTURED UNCERTAINTY[J]. INFORMATION AND CONTROL, 1996, 25(5): 257-263. |
[9] | MA Zi, CHAI Tianyou. A NEW MULTIVARIABLE ROBUST SELF-TUNING DECOUPLINGD DIRECT ALGORITHM[J]. INFORMATION AND CONTROL, 1994, 23(1): 15-21. |
[10] | CHU Jian, WANG Jicheng. A ROBUSTNESS ANALYSIS FOR NONLINEAR SYSTEMS[J]. INFORMATION AND CONTROL, 1990, 19(4): 29-32. |