摘要
这份报纸学习样品数据的问题为有变化时间的延期的不明确的连续时间的模糊大规模系统的可靠 H 夸张控制。第一，模糊夸张模型( FHM )被用来为某些复杂大规模系统建立模型，然后根据 Lyapunov 指导方法和大规模系统的分散的控制理论，线性 matrixine 质量( LMI )基于条件 arederived toguarantee H 性能不仅当所有控制部件正在操作很好时，而且面对一些可能的致动器失败。而且，致动器的精确失败参数没被要求，并且要求仅仅是失败参数的更低、上面的界限。条件依赖于时间延期的上面的界限，并且不依赖于变化时间的延期的衍生物。因此，获得的结果是不太保守的。最后，二个例子被提供说明设计过程和它的有效性。
This paper studies the problem of sampled-data reliable H∞ hyperbolic control for uncertain continuous-time fuzzy large-scale systems with time-wrying delay. Firstly, the fuzzy hyperbolic model （FHM） is used to establish the model for certain complex large-scale systems, then according to the Lyapunov direct method and the decentralized control theory of large-scale systems, linear matrix inequalities （LMIs）-based conditions are derived to guarantee the H∞ performance not only when all control components are operating well, but also in the presence of some possible actuator failures. Moreover, the precise failure parameters of the actuators are not required, and the requirements are only the lower and upper bounds of failure parameters. The conditions are dependent on the upper bound of time-delay, and not dependent on the derivative of time-varying delay. Therefore, the obtained results are less conservative. Finally, two examples are provided to illustrate the design procedure and its effectiveness.
出处
《自动化学报》
EI
CSCD
北大核心
2009年第12期1534-1540,共7页
Acta Automatica Sinica
基金
Supported by National Basic Research Program of China （973 Program） （2009CB320601）, National Natural Science Foundation of China （60774048, 60821063）, the Program for Cheung Kong Scholars, and the Research Fund for the Doctoral Program of China Higher Education （20070145015）
关键词
模糊双曲模型
线性矩阵不等式
分散控制理论
执行器
Fuzzy hyperbolic model （FHM）, sample-data H∞ control, reliable control, large-scale systems, time-varying delay
作者简介
LIU Xin-Rui Ph.D. candidate at the School of Information Science and Engineering, Northeastern University. Her research interest covers sampled-data control system, fuzzy control, and their industrial applications. Corresponding author of this paper. E-mail： lxr_1981@126.com
ZHANG Hua-Guang Professor at the School of Information Science and Engineering, Northeastern University. His research interest covers fuzzy control, chaos system, and neural network. E-mail： hgzhang@ieee.org
