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H-infinity control of continuous-time Markov jump linear systems with detector-based mode information

机译:H-Infinity对连续时间马尔可夫的控制线性系统,具有基于探测器的模式信息

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This paper features new results on H-infinity analysis and control of linear systems with Markov jump disturbances, in a scenario of partial observations of the jump process. We consider the situations in which the jump process can only be measured through a suitable detector. A distinctive feature of the approach here is that it is general enough to encompass particular scenarios such as that of perfect information, no information (mode independent) and cluster observations of the Markov jump process. The main results, comprising a new bounded real lemma and a condition for state feedback synthesis, are expressed via linear matrix inequality-based optimisation problems. The method devised for the design of H-infinity controllers is applied to the control of an unmanned aerial vehicle model.
机译:本文采用了H-Infinity分析和Larkov跳跃干扰的线性系统的新结果,在跳跃过程的部分观察的情况下,Larkov Jump干扰控制。 我们考虑只能通过合适的探测器测量跳跃过程的情况。 这里的方法的一个独特特征是,它足以包含特定场景,例如完美信息,没有信息(模式独立)和马尔可夫跳跃过程的集群观察。 包含新的有界真实引理和用于状态反馈合成条件的主要结果通过基于线性矩阵不等式的优化问题来表达。 设计为H-Infinity控制器设计的方法应用于无人驾驶飞行器模型的控制。

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