427 related articles for article (PubMed ID: 25440953)
41. Improved robust stabilization method for linear systems with interval time-varying input delays by using Wirtinger inequality.
Liu Y; Li M
ISA Trans; 2015 May; 56():111-22. PubMed ID: 25616568
[TBL] [Abstract][Full Text] [Related]
42. A delay decomposition approach to robust stability analysis of uncertain systems with time-varying delay.
Liu PL
ISA Trans; 2012 Nov; 51(6):694-701. PubMed ID: 22840472
[TBL] [Abstract][Full Text] [Related]
43. Delay-distribution-dependent state estimation for discrete-time stochastic neural networks with random delay.
Bao H; Cao J
Neural Netw; 2011 Jan; 24(1):19-28. PubMed ID: 20950998
[TBL] [Abstract][Full Text] [Related]
44. Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay.
Zhang H; Liu Z; Huang GB; Wang Z
IEEE Trans Neural Netw; 2010 Jan; 21(1):91-106. PubMed ID: 19963697
[TBL] [Abstract][Full Text] [Related]
45. Exponential stability on stochastic neural networks with discrete interval and distributed delays.
Yang R; Zhang Z; Shi P
IEEE Trans Neural Netw; 2010 Jan; 21(1):169-75. PubMed ID: 20007025
[TBL] [Abstract][Full Text] [Related]
46. Global point dissipativity of neural networks with mixed time-varying delays.
Cao J; Yuan K; Ho DW; Lam J
Chaos; 2006 Mar; 16(1):013105. PubMed ID: 16599736
[TBL] [Abstract][Full Text] [Related]
47. Further results on delay-range-dependent stability with additive time-varying delay systems.
Liu PL
ISA Trans; 2014 Mar; 53(2):258-66. PubMed ID: 24210689
[TBL] [Abstract][Full Text] [Related]
48. Novel exponential stability criteria of high-order neural networks with time-varying delays.
Zheng CD; Zhang H; Wang Z
IEEE Trans Syst Man Cybern B Cybern; 2011 Apr; 41(2):486-96. PubMed ID: 20716505
[TBL] [Abstract][Full Text] [Related]
49. LMI-based asymptotic stability analysis of neural networks with time-varying delays.
Li T; Sun C; Zhao X; Lin C
Int J Neural Syst; 2008 Jun; 18(3):257-65. PubMed ID: 18595153
[TBL] [Abstract][Full Text] [Related]
50. New results on stability analysis for time-varying delay systems with non-linear perturbations.
Liu PL
ISA Trans; 2013 May; 52(3):318-25. PubMed ID: 23294851
[TBL] [Abstract][Full Text] [Related]
51. Delay-dependent exponential stability analysis of delayed neural networks: an LMI approach.
Liao X; Chen G; Sanchez EN
Neural Netw; 2002 Sep; 15(7):855-66. PubMed ID: 14672162
[TBL] [Abstract][Full Text] [Related]
52. A novel approach to delay-fractional-dependent stability criterion for linear systems with interval delay.
An J; Li Z; Wang X
ISA Trans; 2014 Mar; 53(2):210-9. PubMed ID: 24388211
[TBL] [Abstract][Full Text] [Related]
53. New passivity criteria for memristive uncertain neural networks with leakage and time-varying delays.
Xiao J; Zhong S; Li Y
ISA Trans; 2015 Nov; 59():133-48. PubMed ID: 26434415
[TBL] [Abstract][Full Text] [Related]
54. Delay-dependent stability analysis for continuous-time BAM neural networks with Markovian jumping parameters.
Liu H; Ou Y; Hu J; Liu T
Neural Netw; 2010 Apr; 23(3):315-21. PubMed ID: 20022463
[TBL] [Abstract][Full Text] [Related]
55. Robust stability of stochastic delayed additive neural networks with Markovian switching.
Huang H; Ho DW; Qu Y
Neural Netw; 2007 Sep; 20(7):799-809. PubMed ID: 17714914
[TBL] [Abstract][Full Text] [Related]
56. Stability for neural networks with time-varying delays via some new approaches.
Kwon OM; Park MJ; Lee SM; Park JH; Cha EJ
IEEE Trans Neural Netw Learn Syst; 2013 Feb; 24(2):181-93. PubMed ID: 24808274
[TBL] [Abstract][Full Text] [Related]
57. Exponential stability analysis for neural networks with time-varying delay.
Wu M; Liu F; Shi P; He Y; Yokoyama R
IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):1152-6. PubMed ID: 18632404
[TBL] [Abstract][Full Text] [Related]
58. Existence and stability of pseudo almost periodic solutions for shunting inhibitory cellular neural networks with neutral type delays and time-varying leakage delays.
Xu C; Zhang Q; Wu Y
Network; 2014; 25(4):168-92. PubMed ID: 25387161
[TBL] [Abstract][Full Text] [Related]
59. Global asymptotic stability analysis for delayed neural networks using a matrix-based quadratic convex approach.
Zhang XM; Han QL
Neural Netw; 2014 Jun; 54():57-69. PubMed ID: 24650958
[TBL] [Abstract][Full Text] [Related]
60. Further analysis of global μ-stability of complex-valued neural networks with unbounded time-varying delays.
Velmurugan G; Rakkiyappan R; Cao J
Neural Netw; 2015 Jul; 67():14-27. PubMed ID: 25863289
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
