关联系统专家分散鲁棒控制

DECENTRALIZED ROBUST EXPERT CONTROLLER

针对一类具有不确定性的动态关联大系统，提出了一种基于分散重叠观测器设计的专家分散鲁棒控制算法．专家系统利用不同重叠观测器所估计的状态之间的误差来确定故障的位置，由此选择合适控制器和观测器的增益来保证整个系统的稳定性。

For a class of linear systems with parametric uncertainty, an expert decentralized robust control algorithm is developed. The proposed method is mainly based on the design of the decentralized robust overlapped observers. The expert system uses the differences between the same states as estimated by different overlapped observers to specify the failure position. Furthermore, it selects the appropriate control and observer′s gains to guarantee the overall system stability and make the H ∞ norm of the resulting close loop system transfer function matrix less than a given constant.