Observer-Based Fuzzy Control for Nonlinear Networked Systems Under Unmeasurable Premise Variables
Observer-Based Fuzzy Control for Nonlinear Networked Systems Under Unmeasurable Premise Variables
复制标题
不可测前提变量下非线性网络系统的基于观测器的模糊控制
DOI：
10.1109/tfuzz.2015.2505331
复制
发表时间：
2016-10-01
影响因子：
11.9
通讯作者：
Lam, Hak-Keung
中科院分区：
文献类型：
--
作者：
Li, Hongyi;Wu, Chengwei;Lam, Hak-Keung
研究基于模糊观察者的控制器设计的问题已针对具有不完善的通信链接和参数不确定性的非线性网络控制系统。具有参数不确定性的非线性网络控制系统是通过Interval Type-2（IT2）Takagi-Sugeno（T-S）模型建模的，在该模型中，通过下级和上级成员资格功能来处理不确定性。在传感器到观察者和控制器对传动器通信链接中，测量损耗都是随机发生的。特别是，在控制器到操作员通道中采用了一种新颖的数据补偿策略。观察者是在无法衡量的前提变量案例下设计的，然后，控制器是按估计状态设计的。此外，控制器的存在条件可以确保所得的闭环系统随着预定义的干扰衰减性能而随机稳定。提供了两个示例来说明所提出的方法的有效性。
The problem of fuzzy observer-based controller design is investigated for nonlinear networked control systems subject to imperfect communication links and parameter uncertainties. The nonlinear networked control systems with parameter uncertainties are modeled through an interval type-2 (IT2) Takagi-Sugeno (T-S) model, in which the uncertainties are handled via lower and upper membership functions. The measurement loss occurs randomly, both in the sensor-to-observer and the controller-to-actuator communication links. Specially, a novel data compensation strategy is adopted in the controller-to-actuator channel. The observer is designed under the unmeasurable premise variables case, and then, the controller is designed with the estimated states. Moreover, the conditions for the existence of the controller can ensure that the resulting closed-loop system is stochastically stable with the predefined disturbance attenuation performance. Two examples are provided to illustrate the effectiveness of the proposed method.