作　　者： ; ;

机构地区： 江南大学通信与控制工程学院

出　　处： 《控制理论与应用》 2010年第11期1569-1574,共6页

摘　　要： 用T-S(Takagi-Sugeno)模糊方法研究了带有参数不确定的非线性网络化系统的鲁棒控制.首先,考虑到诱导时延和数据丢包等网络因素的影响,基于事件驱动的保持器的更新序列建立闭环反馈系统的采样模型,并将其转化为状态中附加两个时滞变量的连续T-S模糊系统.然后,利用时滞系统方法,分析不确定闭环模糊系统的鲁棒H∞性能,并设计相应的鲁棒H∞模糊控制器.最后,仿真例子表明了方法的有效性. The robust control for nonlinear networked systems with parameter uncertainties by the T-S（Takagi-Sugeno） fuzzy approach is investigated. Firstly, with consideration of the effect of network conditions, such as network-induced delays and data packet dropouts, we develop a sampled-data model for the closed-loop feedback system based on the updating sequence of the event-driven holder. This model is converted to a continuous T-S fuzzy system with two additivedelay components in the states. Next, by using the delay system approach, the robust H-infinity performance for the uncertain closed-loop fuzzy system is analyzed, and the robust H-infinity fuzzy controller is designed. Finally, a simulation example is provided to illustrate the effectiveness of method.

关 键 词： 网络控制系统 模糊模型 时滞系统 采样系统 事件驱动

领　　域： [自动化与计算机技术] [自动化与计算机技术]