Asynchronous Output-Feedback Control of Networked Nonlinear Systems With Multiple Packet Dropouts: T–S Fuzzy Affine Model-Based Approach
Asynchronous Output-Feedback Control of Networked Nonlinear Systems With Multiple Packet Dropouts: T–S Fuzzy Affine Model-Based Approach
复制标题
DOI：
10.1109/tfuzz.2011.2159011
复制
发表时间：
2011-12
影响因子：
11.9
通讯作者：
Jianbin Qiu;G. Feng;Huijun Gao
中科院分区：
文献类型：
--
作者：
Jianbin Qiu;G. Feng;Huijun Gao
研究了一类具有多丢包的网络化非线性系统的鲁棒输出反馈控制问题。非线性对象用具有范数有界不确定性的T-S模糊仿射动态模型表示，随机变量满足Bernoulli随机二进制分布来描述数据缺失现象.目的是设计一个容许的输出反馈控制器，保证所得到的闭环系统的随机稳定性与指定的干扰衰减水平。它是假设工厂的前提变量，这往往是状态变量或其功能，是不可测的，使控制器的实现与状态空间分区可能不同步的状态轨迹的工厂。基于分段二次型李雅普诺夫函数结合S-过程和一些矩阵不等式凸化技术，针对具有不可靠通信链路的T-S模糊仿射系统，提出了两种不同的鲁棒输出反馈控制器设计方法.问题的解决方案制定的形式线性矩阵不等式（LMI）。最后通过仿真实例验证了所提方法的有效性。
This paper investigates the problem of robust output-feedback control for a class of networked nonlinear systems with multiple packet dropouts. The nonlinear plant is represented by Takagi-Sugeno (T-S) fuzzy affine dynamic models with norm-bounded uncertainties, and stochastic variables that satisfy the Bernoulli random binary distribution are adopted to characterize the data-missing phenomenon. The objective is to design an admissible output-feedback controller that guarantees the stochastic stability of the resulting closed-loop system with a prescribed disturbance attenuation level. It is assumed that the plant premise variables, which are often the state variables or their functions, are not measurable so that the controller implementation with state-space partition may not be synchronous with the state trajectories of the plant. Based on a piecewise quadratic Lyapunov function combined with an S-procedure and some matrix inequality convexifying techniques, two different approaches to robust output-feedback controller design are developed for the underlying T-S fuzzy affine systems with unreliable communication links. The solutions to the problem are formulated in the form of linear matrix inequalities (LMIs). Finally, simulation examples are provided to illustrate the effectiveness of the proposed approaches.