Robust Connective Stabilization Method And Application for Expanding Construction of Large-Scale Systems

被引：0
|
作者：
Wu, Wenbo [1 ]
Li, Xiaohua [1 ]
Jing, Yuanwei [2 ]
机构：
[1] Univ Sci & Technol Liaoning, Sch Electrons & Informat Engn, Anshan, Liaoning, Peoples R China
[2] Northeastern Univ, Fac Informat Sci & Engn, Shenyang, Liaoning, Peoples R China
来源：
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年
关键词：
expanding construction of large-scale systems; robust decentralized stabilization; connective stability; LMI; power system; STABILITY; DESIGN;
D O I：
10.1109/WCICA.2010.5555025
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The robust decentralized connective stabilization problem for the expanding construction of large-scale systems, which is constituted by adding new subsystems one after another on the original construction during the operation, is considered in this paper. The problem is how to design the local control law of the new subsystem based on not changing the decentralized control laws of original construction, so that both the subsystem and the resultant expanded system are robust connective stable. The sufficient condition of the robust decentralized connective stabilization for the expanding construction of large-scale systems is obtained by taking Lyapunov theory and LMI approach. The design method of the robust decentralized connective stabilization controller of the expanding construction is given. It is applied to the control design for the expanding construction of the interconnected power system, and the simulation results shows the validity of presented method.
引用
收藏
页码：3732 / 3736
页数：5
相关论文
共 50 条
  • [31] Adaptive neural network decentralized stabilization for nonlinear large scale interconnected systems with expanding construction
    Li Xiaohua
    Liu Xiaoping
    Xu Bo
    Liu Yang
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2017, 354 (01): : 233 - 256
  • [32] Decentralized robust stabilization of discrete-time fuzzy large-scale systems with parametric uncertainties: a LMI method
    Zhang Yougang & Xu Bugong Coll. of Automatic Science & Engineering
    JournalofSystemsEngineeringandElectronics, 2006, (04) : 836 - 845
  • [33] Application of matrix perturbation theory in robust control of large-scale systems
    Ashari, Alireza Esna
    Labibi, Batool
    AUTOMATICA, 2012, 48 (08) : 1868 - 1873
  • [34] Connective Stability of Nonlinear Discrete Large-Scale Systems
    Sun, Shuiling
    Peng, Ping
    Chen, Chaotian
    ITESS: 2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES, PT 1, 2008, : 1164 - 1169
  • [35] Impulsive stabilization of large-scale dynamical systems
    Yang, Zhichun
    Xu, Daoyi
    DYNAMIC SYSTEMS AND APPLICATIONS, 2006, 15 (3-4): : 317 - 332
  • [36] ON DECENTRALIZED STABILIZATION OF LARGE-SCALE INTERCONNECTED SYSTEMS
    SHI, ZC
    GAO, WB
    LARGE SCALE SYSTEMS IN INFORMATION AND DECISION TECHNOLOGIES, 1987, 13 (02): : 187 - 190
  • [37] Decentralized stabilization of fuzzy large-scale systems
    Hsiao, FH
    Hwang, JD
    Shiau, LG
    PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2000, : 3447 - 3452
  • [38] Stabilization of nonlinear large-scale systems by dithers
    Hsiao, FH
    Hwang, JD
    Chien, IL
    INTERNATIONAL JOURNAL OF CONTROL, 1998, 70 (02) : 203 - 226
  • [39] Optimal Stabilization of Large-Scale Complexe Systems
    Tlili, Ali Sghaier
    2015 16TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA), 2015, : 30 - 35
  • [40] Stability and stabilization of fuzzy large-scale systems
    Wang, WJ
    Luoh, L
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2004, 12 (03) : 309 - 315
12345