Stochastic stability of semi‐Markovian jump systems with mode‐dependent delays

By Fanbiao Li, Ligang Wu, Peng Shi. 2014

177 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/ef01bca9bf57fb8d4d44d656c74546cb74359e58

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Fanbiao Li
2. Hao Shen
3. Ju H. Park
4. Peng Shi
5. Zhengguang Wu
6. Yonggui Kao
7. Jun Cheng
8. Wenhai Qi

In Molecular Biology

1. Ju H. Park
2. Hao Shen
3. Zhengguang Wu

Citations in the corpus

• A survey on Markovian jump systems: Modeling and design (2015, background): “= , ≠ = −∑ Remark 10: In [116,117], probability distributions of sojourn-time on Markovian processes, from an exponential distribution to a Weibull one, are discussed.”
• Reliable mixed passive and ℋ∞ filtering for semi‐Markov jump systems with randomly occurring uncertainties and sensor failures (2015, methodology): “In the context of SMJLSs, the stability analysis problem was solved in [28, 29], some available controller design methods were proposed in [30], and the H1 control problem was discussed in [31].”
• Robust stabilisation for non-linear time-delay semi-Markovian jump systems via sliding mode control (2017, methodology): “Sufficient conditions were constructed to ensure stochastic stability of S-MJSs with mode-dependent delays in [18].”