Stochastic stability for delayed semi-Markovian genetic regulatory networks with partly unknown transition rates by employing new integral inequalities
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07177-6.pdf
Reference39 articles.
1. Li Z, Chen D, Liu Y, Zhao Y (2016) New delay-dependent stability criteria of genetic regulatory networks subject to variable delays. Neurocomputing 207:763–771
2. Gu K (2000) An integral inequality in the stability problem of time-delay systems. In: Proceedings of the 39th IEEE Conference on Decision and Control, Sydney, Australia, pp 2805–2810
3. Senthilraj S, Raja R, Zhu Q, Samidurai R, Zhou H (2016) Delay-dependent asymptotic stability criteria for genetic regulatory networks with impulsive perturbations. Neurocomputing 214:981–990
4. Wang W, Zhong S, Nguang SK, Liu F (2013) Robust delay-probability-distribution-dependent stability of uncertain genetic regulatory networks with variable delays. Neurocomputing 119:153–164
5. Park MJ, Ko JW, Jeong CK (2011) Reciprocally convex approach to stability of systems with variable delays. Automatica 47(1):235–238
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