存在部分解耦扰动的网络化系统容错控制

针对一类存在执行器故障和部分解耦扰动的离散时间网络化控制系统，研究测量数据随机丢失情况下的主动容错控制问题。首先，通过模型转换将原系统化为一个与之等价的状态增广系统；然后在考虑测量数据发生随机丢失情况下，构造未知输入观测器(unknown input observer, UIO)实现对系统状态与故障的联合估计，再基于状态和故障的在线估计值，设计基于信号补偿的容错控制律实现对原系统的主动容错控制。在该容错控制算法中，观测器与控制器增益的存在性条件均可利用李雅普诺夫稳定性理论对误差系统进行随机分析得到，相应的估计器和控制器参数可通过在线求解具有凸约束的矩阵不等式获得。最后，通过一个喷气式发动机模型的仿真算例验证所提出的故障估计与主动容错控制方法的有效性。

Fault-tolerant Control for Networked Systems with Partially Decoupled Disturbances

The active fault-tolerant control under random loss of measurement data issue is investigated for a class of networked control systems with actuator faults and partially decoupled disturbances. First, the equivalent state-augmented systems are derived using an appropriate model transformation, and an unknown input observer (UIO) is designed to simultaneously estimate system states and fault signals under random packet dropouts. Next, considering the online estimation of states and fault, an active fault-tolerant control law is developed using a signal compensation strategy. Intensive stability analysis is performed to obtain sufficient conditions to further generate the desired observer and controller. Furthermore, the corresponding optimal parameters can be co-designed by solving the matrix inequality with convex constraints online. Finally, a simulation example of the jet engine model is provided to demonstrate the effectiveness of the proposed fault estimation and fault-tolerant control method.