Dissipativity-based sampled-data control of fuzzy Markovian jump systems with incomplete transition rates

This article addresses the topic of dissipativity-based sampled-data control for fuzzy markovian jump systems with incomplete transition rates. First, by making full use of the information in the sampling interval, an appropriate closed-loop function dependent sampling interval is constructed. Then, with the addition of free-weighting matrices approach and improved integral inequality technique, sufficient conditions are obtained to ensure that the considered systems are stochastically stable and strictly(Q,S,R)-γ-dissipative stochastically, respectively. Furthermore, the corresponding mode-dependent sampled-data controller is also designed. Finally, a simulation example is offered to verify the feasibility of the results.