Stochastic stabilization of switching diffusion systems via an intermittent control strategy with delayed and sampled-data observations

Abstract

This paper investigates the intermittent stochastic stabilization of switching diffusion systems (SDSs) via sampled data with time delays of state and mode. First, by virtue of analysis techniques for Markov chains, some estimates of the solutions for SDSs are derived. Second, with the aid of iteration by steps, a sufficient criterion is proposed for intermittent stochastic stabilization via sampled data with time delays of state and mode. Finally, a simulation example verifies the effectiveness of the theoretical results.