Mean square exponential stabilization of sampled‐data Markovian jump systems

Funding information National Natural Science Foundation of China, Grant/Award Number: 61522303, U1509215 and 61621063; ChangJiang Scholars Program; National Outstanding Youth Talents Support Program; Program for Changjiang Scholars and Innovative Research Team in University , Grant/Award Number: IRT1208; Program for New Century Excellent Talents in University, Grant/Award Number: NCET-13-0045 Summary In this paper, the problem of mean square exponential stabilization for sampled-data Markovin jump systems is studied. A time-scheduled Lyapunov functional consisting of a exponential-type looped function is constructed using segmentation technology and linear interpolation. Based on this new Lyapunov functional, a less conservative mean square exponential stability criterion is obtained such that a bigger maximum decay rate can be easily calculated. Meanwhile, the quantitative relationship among some system parameters, maximum sampling period, and decay rate is established. Moreover, a time-dependent state feedback sample-data controller is designed. Significant improvements of the proposed exponential-type time-scheduled Lyapunov functional method over some existing ones are verified by numerical examples.

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