DENG Zheming, ZHAND Xinzheng. THE STUDY OF STABILIZATION OF NONLINEAR CONSTANT INTERCONNECTED CONTROL SYSTEMS WITH TIME-DELAYS[J]. INFORMATION AND CONTROL, 1999, 28(2): 93-97.
Citation: DENG Zheming, ZHAND Xinzheng. THE STUDY OF STABILIZATION OF NONLINEAR CONSTANT INTERCONNECTED CONTROL SYSTEMS WITH TIME-DELAYS[J]. INFORMATION AND CONTROL, 1999, 28(2): 93-97.

THE STUDY OF STABILIZATION OF NONLINEAR CONSTANT INTERCONNECTED CONTROL SYSTEMS WITH TIME-DELAYS

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  • Received Date: January 23, 1998
  • Published Date: April 19, 1999
  • In this paper, the concepts of structure for nonlinear constant interconnected control systems with multigroup time-delays are formulated. The structure and interconnected stabilization of nonlinear constant interconnected control systems with multigroup time-delays and perturbation structure parameters is considered based on the equivalence method of stabilization. Meanwhile, the estimated formulas of bounds for delay and perturbed parameter of robust stabilization are given.
  • 1 张新政,刘永清.多组多滞后区间常系数关联线性控制系统的结构与鲁棒镇定.《系统工程》, 1996, 14(1):13~17
    2 秦元勋,刘永清,王联. 带有时滞的动力系统的运动稳定性.科学出版社, 1963
    3 Liu Yongqing, Mao Xuechun. The Stabilization and Control for the Nonlinear Control Systems with Time-delays. 2. “Advances in Modelling Simulation and Control” 1988,9~17
    4 刘永清,唐功友.大型动力系统的理论与应用.(卷3第11章),华南理工大学出版社,1992
    5 刘永清,徐维鼎. 大型动力系统的理论与应用,(卷2).华南理工大学出版社,1989
    6 Zhang Xinzheng. The Structure and Interconnected Robust Stabilization of Interval Coefficients Linear Interconnected Control Systems with Multigroup time-delays."General Systems Studies and Applications" 1997:159~162
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