Abstract
The problem of the stability analysis and controller design for Lurie networked control systems (NCSs) is investigated, in which the network-induced delays and data dropout problems are simultaneously considered. By considering that the network-induced delays are assumed to be time-varying and bounded, and analyzing the relationship between the delay and its upper bound, employing a Lyapunov-Krasovskii function and an integral inequality approach, an improved stability criterion for NCSs is proposed. Furthermore, the resulting condition is extended to design a less conservative state feedback controller by employing an improved cone complementary linearization (ICCL) algorithm. Numerical examples are provided to show the effectiveness of the method.
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