-
1
-
-
0029345226
-
New conditions for global stability of neural networks with applicationsto linear and quadratic programming problems
-
M. Forti, and A. Tesi, New conditions for global stability of neuralnetworks with applications to linear and quadratic programming problems, IEEETrans. Circuits & Systems I Fund. Theory Applications, Vol. 42, No. 7, pp.354-366, 1995.
-
(1995)
IEEE Trans. Circuits & Systems I Fund. Theory Applications
, vol.42
, Issue.7
, pp. 354-366
-
-
Forti, M.1
Tesi, A.2
-
2
-
-
48249108283
-
A generalized LMI-based approach to the global asymptotic stability ofdiscrete-time delayed recurrent neural networks
-
Q. Zhang, X. Wei and J. Xu, A generalized LMI-based approach to theglobal asymptotic stability of discrete-time delayed recurrent neural networks,Int. J. Innovative Computing, Information & Control, Vol. 4, No. 6, pp.1393-1399, 2008.
-
(2008)
Int. J. Innovative Computing, Information & Control
, vol.4
, Issue.6
, pp. 1393-1399
-
-
Zhang, Q.1
Wei, X.2
Xu, J.3
-
3
-
-
63649086505
-
A delay-dependent approach to stability for static recurrent neuralnetworks with mixed time-varying delays
-
C. Y. Lu, T. J. Su, Y. H. Su and S. C. Huang, A delay-dependent approachto stability for static recurrent neural networks with mixed time-varyingdelays, Int. J. Innovative Computing, Information & Control, Vol. 4, No. 7,pp. 1661-1672, 2008.
-
(2008)
Int. J. Innovative Computing, Information & Control
, vol.4
, Issue.7
, pp. 1661-1672
-
-
Lu, C.Y.1
Su, T.J.2
Su, Y.H.3
Huang, S.C.4
-
4
-
-
13444256385
-
A general framework for global asymptotic stability analysis of delayedneural networks based on LMI approach
-
DOI 10.1016/j.chaos.2004.09.063, PII S0960077904006241
-
J. Cao, and D. W. C. Ho, A general framework for global asymptoticstability analysis of delayed neural networks based on LMI approach, Chaos,Solitons & Fractals, Vol. 24, No. 5, pp. 1317-1329, 2005. (Pubitemid40206058)
-
(2005)
Chaos, Solitons and Fractals
, vol.24
, Issue.5
, pp. 1317-1329
-
-
Cao, J.1
Ho, D.W.C.2
-
5
-
-
0034233270
-
Results concerning the absolute stability of delayed neural networks
-
M. Joy, Results concerning the absolute stability of delayed neuralnetworks, Neural Networks, Vol. 13, No. 6, pp. 613-616, 2000.
-
(2000)
Neural Networks
, vol.13
, Issue.6
, pp. 613-616
-
-
Joy, M.1
-
6
-
-
56949099737
-
New robust stability of cellular neural networks with time-varyingdiscrete and distributed delays
-
Y. Chen, and W. Su, New robust stability of cellular neural networks withtime-varying discrete and distributed delays, Int. J. Innovative Computing,Information & Control, Vol. 3, no. 6(B), pp. 1549-1556, 2007.
-
(2007)
Int. J. Innovative Computing, Information & Control
, vol.3 B
, Issue.6
, pp. 1549-1556
-
-
Chen, Y.1
Su, W.2
-
7
-
-
1942443174
-
Global robust exponential stability analysis for interval recurrentneural networks
-
S. Xu, J. Lam and D. W. C. Ho, Global robust exponential stabilityanalysis for interval recurrent neural networks, Physics letters A, Vol. 325,No. 2, pp. 124-133, 2004.
-
(2004)
Physics Letters A
, vol.325
, Issue.2
, pp. 124-133
-
-
Xu, S.1
Lam, J.2
Ho, D.W.C.3
-
8
-
-
14644434391
-
Global asymptotic and robust stability of recurrent neural networks withtime delays
-
DOI 10.1109/TCSI.2004.841574
-
J. Cao, and J. Wang, Global asymptotic and robust stability of recurrentneural networks with time delays, IEEE Trans. Circuits and Systems-I: RegularPapers, Vol. 52, No. 2, pp. 417-426, 2005. (Pubitemid 40319475)
-
(2005)
IEEE Transactions on Circuits and Systems I: Regular Papers
, vol.52
, Issue.2
, pp. 417-426
-
-
Cao, J.1
Wang, J.2
-
9
-
-
33644951682
-
Novel results concerning global robust stability of delayed neuralnetworks
-
J. Cao, H. X. Li and L. Han, Novel results concerning global robuststability of delayed neural networks, Nonlinear Analysis: Real WorldApplications, Vol. 7, No. 3, pp. 458-469, 2006.
-
(2006)
Nonlinear Analysis: Real World Applications
, vol.7
, Issue.3
, pp. 458-469
-
-
Cao, J.1
Li, H.X.2
Han, L.3
-
10
-
-
33646499073
-
Robust stability analysis of generalized neural networks with discreteand distributed time delays
-
DOI 10.1016/j.chaos.2005.08.166, PII S0960077905007988
-
Z. Wang, H. Shu, Y. Liu, D. W. C. Ho and X. Liu, Robust stabilityanalysis of generalized neural networks with discrete and distributed timedelays, Chaos, Solitons and Fractals, Vol. 30, No. 4, pp. 886-896, 2006.(Pubitemid 43913472)
-
(2006)
Chaos, Solitons and Fractals
, vol.30
, Issue.4
, pp. 886-896
-
-
Wang, Z.1
Shu, H.2
Liu, Y.3
Ho, D.W.C.4
Liu, X.5
-
11
-
-
0003595806
-
-
PA: SIAM, Philadelphia
-
S. Boyd, L. E. Ghaoui, E. Feron and V. Balakrishnan, Linear MatrixInequalities in System and Control Theory, PA: SIAM, Philadelphia, 1994.
-
(1994)
Linear Matrix Inequalities in System and Control Theory
-
-
Boyd, S.1
Ghaoui, L.E.2
Feron, E.3
Balakrishnan, V.4
-
12
-
-
31344444201
-
Global robust stability analysis of neural networks with multiple timedelays
-
DOI 10.1109/TCSI.2005.855724
-
N. Ozcan, and S. Arik, Global robust stability analysis of neuralnetworks with multiple time delays, IEEE Trans. Circuits & Systems-I:Regular papers, Vol. 53, No. 1, pp. 166-176, 2006. (Pubitemid 43141939)
-
(2006)
IEEE Transactions on Circuits and Systems I: Regular Papers
, vol.53
, Issue.1
, pp. 166-176
-
-
Ozcan, N.1
Arik, S.2
-
13
-
-
33646890454
-
LMI-based criteria for globally robust stability of delayedCohen- Grossberg neural networks
-
DOI 10.1049/ip-cta:20050197
-
W. Wang, and J. Cao, LMI-based criteria for globally robust stability ofdelayed Cohen-Grossberg neural networks, IEE Proc.-Control Theory Appl., Vol.153, No. 4, pp. 397-402, 2006. (Pubitemid 43781892)
-
(2006)
IEE Proceedings: Control Theory and Applications
, vol.153
, Issue.4
, pp. 397-402
-
-
Wang, W.1
Cao, J.2
-
14
-
-
34047244923
-
Novel robust stability criteria for uncertain stochastic hopfield neuralnetworks with time-varying delays
-
J. H. Zhang, P. Shi, and J. Q. Qiu, Novel robust stability criteria foruncertain stochastic Hopfield neural networks with time-varying delays,Nonlinear Analysis: Real World Applications, Vol. 8, No. 4, pp. 1349-1357, 2007.
-
(2007)
Nonlinear Analysis: Real World Applications
, vol.8
, Issue.4
, pp. 1349-1357
-
-
Zhang, J.H.1
Shi, P.2
Qiu, J.Q.3
-
15
-
-
33750480558
-
Robust stability and robust periodicity of delayed recurrent neuralnetworks with noise disturbance
-
DOI 10.1109/TCSI.2006.883159
-
C. Li, and X. Liao, Robust stability and robust periodicity of delayedrecurrent neural networks with nose disturbance, IEEE Trans. Circuits &Systems-I: Regular papers, Vol. 53, pp. 2265-2273, 2006. (Pubitemid 44644159)
-
(2006)
IEEE Transactions on Circuits and Systems I: Regular Papers
, vol.53
, Issue.10
, pp. 2265-2273
-
-
Li, C.1
Liao, X.2
-
16
-
-
38649120898
-
Robust stability of discrete-time stochastic neural networks withtime-varying delays
-
DOI 10.1016/j.neucom.2007.03.008, PII S0925231207001002
-
Y. Liu, Z. Wang and X. Liu, Robust stability of discrete-time stochasticneural networks with time-varying delays, Neurocomputing, Vol. 71, no. 4-6, pp.823-833, 2008. (Pubitemid 351168431)
-
(2008)
Neurocomputing
, vol.71
, Issue.4-6
, pp. 823-833
-
-
Liu, Y.1
Wang, Z.2
Liu, X.3
-
17
-
-
37549045167
-
A delay-range-dependent approach to global robust stability fordiscrete-time uncertain recurrent neural networks with interval time-varyingdelay
-
C. Y. Lu, A delay-range-dependent approach to global robust stability fordiscrete-time uncertain recurrent neural networks with interval time-varyingdelay, J. Systems Control engineering, Vol. 221, No. 8, pp. 1123-1132, 2007.
-
(2007)
J. Systems Control Engineering
, vol.221
, Issue.8
, pp. 1123-1132
-
-
Lu, C.Y.1
-
18
-
-
34547402018
-
A delay-dependent LMI approach to dynamics analysis of discrete-timerecurrent neural networks with time-varying delays
-
Q. Song, and Z. Wang, A delay-dependent LMI approach to dynamics analysisof discrete-time recurrent neural networks with time-varying delays, PhysicsLetters A, Vol. 368, no. 1-2, pp. 134-145, 2007.
-
(2007)
Physics Letters A
, vol.368
, Issue.1-2
, pp. 134-145
-
-
Song, Q.1
Wang, Z.2
|