期刊
SYSTEMS & CONTROL LETTERS
卷 168, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.sysconle.2022.105362
关键词
Intermittent control strategy; Stochastic stabilization; Delayed observation strategy; Sampled -data strategy; Switching diffusion systems
资金
- National Sci- ence Foundation of China [61773152]
- Funda- mental Research Funds for the Central Universities [2019B19214]
- Qing Lan Project of Jiangsu Province, China
This paper investigates the intermittent stochastic stabilization of switching diffusion systems (SDSs) via sampled data with time delays of state and mode. The solutions for SDSs are derived by using analysis techniques for Markov chains. A sufficient criterion for intermittent stochastic stabilization via sampled data with time delays of state and mode is proposed with the aid of iteration by steps. The theoretical results are verified by a simulation example.
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. (c) 2022 Elsevier B.V. All rights reserved.
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