Halanay inequality

Theorem in Mathematics

Halanay inequality is a comparison theorem for differential equations with delay.[1] This inequality and its generalizations have been applied to analyze the stability of delayed differential equations, and in particular, the stability of industrial processes with dead-time[2] and delayed neural networks.[3][4]

Statement

Let t 0 {\displaystyle t_{0}} be a real number and τ {\displaystyle \tau } be a non-negative number. If v : [ t 0 τ , ) R + {\displaystyle v:[t_{0}-\tau ,\infty )\rightarrow \mathbb {R} ^{+}} satisfies d d t v ( t ) α v ( t ) + β [ sup s [ t τ , t ] v ( s ) ] , t t 0 {\displaystyle {\frac {d}{dt}}v(t)\leq -\alpha v(t)+\beta \left[\sup _{s\in [t-\tau ,t]}v(s)\right],t\geq t_{0}} where α {\displaystyle \alpha } and β {\displaystyle \beta } are constants with α > β > 0 {\displaystyle \alpha >\beta >0} , then v ( t ) k e η ( t t 0 ) , t t 0 {\displaystyle v(t)\leq ke^{-\eta \left(t-t_{0}\right)},t\geq t_{0}} where k > 0 {\displaystyle k>0} and η > 0 {\displaystyle \eta >0} .

See also

References

  1. ^ Halanay (1966). Differential Equations: Stability, Oscillations, Time Lags. Academic Press. p. 378. ISBN 978-0-08-095529-2.
  2. ^ Bresch-Pietri, D.; Chauvin, J.; Petit, N. (2012). "Invoking Halanay inequality to conclude on closed-loop stability of a process with input-varying delay1". IFAC Proceedings Volumes. 45 (14): 266–271. doi:10.3182/20120622-3-US-4021.00011.
  3. ^ Chen, Tianping (2001). "Global exponential stability of delayed Hopfield neural networks". Neural Networks. 14 (8): 977–980. doi:10.1016/S0893-6080(01)00059-4. PMID 11681757.
  4. ^ Li, Hongfei; Li, Chuandong; Zhang, Wei; Xu, Jing (2018). "Global Dissipativity of Inertial Neural Networks with Proportional Delay via New Generalized Halanay Inequalities". Neural Processing Letters. 48 (3): 1543–1561. doi:10.1007/s11063-018-9788-6. ISSN 1370-4621. S2CID 34828185.


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