Novel master-slave synchronization criteria of chaotic Lur'e systems with time delays using sampled-data control

This paper investigates the problem of master-slave synchronization of chaotic Lur'e systems (CLSs) with time delays by sampled-data control. First, a novel Lyapunov-Krasovskii functional (LKF) is constructed with some new augmented terms, which can fully capture the system characteristics and the available information on the actual sampling pattern. In comparison with existing results, the constraint condition of the positive definition of the LKF is more relax, since it is positive definite only requiring at sampling instants. Second, based on the LKF, a less conservative synchronization criterion is established. Third, the desired estimator gain can be designed in terms of the solution to linear matrix inequalities (LMIs). The obtained conditions ensure the master-slave synchronization of CLSs under a longer sampling period than remarkable existing works. Finally, three numerical simulations of Chua's circuit and neural network are provided to show the effectiveness and advantages of the proposed results.