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Volumn 83, Issue 1, 2011, Pages

Robust passivity analysis for Takagi-Sugeno fuzzy stochastic Cohen-Grossberg interval neural networks with time-varying delays

Author keywords

[No Author keywords available]

Indexed keywords

DELAY-DEPENDENT; FUZZY INTERVAL; INTERVAL NEURAL NETWORK; INTERVAL UNCERTAINTY; LYAPUNOV-KRASOVSKII FUNCTIONALS; NUMERICAL EXAMPLE; STOCHASTIC ANALYSIS; STRUCTURED UNCERTAINTIES; TAKAGI-SUGENO; TIME VARYING; TIME-VARYING DELAY;

EID: 78751527385     PISSN: 00318949     EISSN: 14024896     Source Type: Journal    
DOI: 10.1088/0031-8949/83/01/015008     Document Type: Article
Times cited : (8)

References (35)
  • 1
    • 0020970741 scopus 로고
    • Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
    • Cohen M A and Grossberg S 1983 Absolute stability of global pattern formation and parallel memory storage by competitive neural networks IEEE Trans. Syst. Man Cybern. 13 815-26
    • (1983) IEEE Trans. Syst. Man Cybern. , vol.13 , pp. 815-826
    • Cohen, M.A.1    Grossberg, S.2
  • 2
    • 56549104601 scopus 로고    scopus 로고
    • New results for global stability of Cohen-Grossberg neural networks with multiple time delays
    • Orman Z and Arik S 2008 New results for global stability of Cohen-Grossberg neural networks with multiple time delays Neurocomputing 71 3053-63
    • (2008) Neurocomputing , vol.71 , pp. 3053-3063
    • Orman, Z.1    Arik, S.2
  • 3
    • 0142087577 scopus 로고    scopus 로고
    • Delay-dependent stability analysis of Cohen-Grossberg neural networks
    • Chen T P and Rong L B 2003 Delay-dependent stability analysis of Cohen-Grossberg neural networks Phys. Lett. A 317 436-49
    • (2003) Phys. Lett. A , vol.317 , pp. 436-449
    • Chen, T.P.1    Rong, L.B.2
  • 4
    • 27744450164 scopus 로고    scopus 로고
    • Stability in delayed Cohen-Grossberg neural networks: LMI optimization approach
    • DOI 10.1016/j.physd.2005.09.005, PII S0167278905003842
    • Cao J and Li X 2005 Stability in delayed Cohen-Grossberg neural networks: LMI optimization approach Physica D 212 54-65 (Pubitemid 41617923)
    • (2005) Physica D: Nonlinear Phenomena , vol.212 , Issue.1-2 , pp. 54-65
    • Cao, J.1    Li, X.2
  • 5
    • 33845409257 scopus 로고    scopus 로고
    • Dynamic analysis of high-order Cohen-Grossberg neural networks with time delay
    • DOI 10.1016/j.chaos.2005.11.095, PII S0960077905012026
    • Chen Z, Zhao D and Ruan J 2007 Dynamic analysis of high-order Cohen-Grossberg neural networks with time delay Chaos Solitons Fractals 32 1538-46 (Pubitemid 44909772)
    • (2007) Chaos, Solitons and Fractals , vol.32 , Issue.4 , pp. 1538-1546
    • Chen, Z.1    Zhao, D.2    Ruan, J.3
  • 6
    • 3442880393 scopus 로고    scopus 로고
    • Boundedness and stability for Cohen-Grossberg neural network with time-varying delays
    • DOI 10.1016/j.jmaa.2004.04.039, PII S0022247X04003695
    • Cao J and Liang J 2004 Boundedness and stability for Cohen-Grossberg neural networks with time-varying delays J. Math. Anal. Appl. 296 665-85 (Pubitemid 39007492)
    • (2004) Journal of Mathematical Analysis and Applications , vol.296 , Issue.2 , pp. 665-685
    • Cao, J.1    Liang, J.2
  • 7
    • 1042278960 scopus 로고    scopus 로고
    • Globally exponential stability of generalized Cohen-Grossberg neural networks with delays
    • Hwang C-C, Cheng C-J and Liao T-L 2003 Globally exponential stability of generalized Cohen-Grossberg neural networks with delays Phys. Lett. A 319 157-66
    • (2003) Phys. Lett. A , vol.319 , pp. 157-166
    • Hwang, C.-C.1    Cheng, C.-J.2    Liao, T.-L.3
  • 8
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi T and Sugeno M 1985 Fuzzy identification of systems and its applications to modeling and control IEEE Trans. Syst. Man Cybern. 15 116-32
    • (1985) IEEE Trans. Syst. Man Cybern. , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 9
    • 61849172400 scopus 로고    scopus 로고
    • Mean square exponential stability of stochastic fuzzy Hopfield neural networks with discrete and distributed time-varying delays
    • Li H, Chen B, Lin C and Zhou Q 2009 Mean square exponential stability of stochastic fuzzy Hopfield neural networks with discrete and distributed time-varying delays Neurocomputing 72 2017-23
    • (2009) Neurocomputing , vol.72 , pp. 2017-2023
    • Li, H.1    Chen, B.2    Lin, C.3    Zhou, Q.4
  • 10
    • 43049136835 scopus 로고    scopus 로고
    • Global asymptotic stability of fuzzy cellular neural networks with time-varying delays
    • Zhang Q and Xiang R 2008 Global asymptotic stability of fuzzy cellular neural networks with time-varying delays Phys. Lett. 372 3971-7
    • (2008) Phys. Lett. , vol.372 , pp. 3971-3977
    • Zhang, Q.1    Xiang, R.2
  • 11
    • 0030258702 scopus 로고    scopus 로고
    • The global stability of fuzzy cellular neural networks
    • Yang T and Yang L 1996 The global stability of fuzzy cellular neural networks IEEE Trans. Circuits Syst. 143 880-3
    • (1996) IEEE Trans. Circuits Syst. , vol.143 , pp. 880-883
    • Yang, T.1    Yang, L.2
  • 12
    • 31744447713 scopus 로고    scopus 로고
    • Exponential stability of fuzzy cellular neural networks with distributed delay
    • DOI 10.1016/j.jviromet.2005.11.016, PII S0375960105016300
    • Huang T 2006 Exponential stability of fuzzy cellular neural networks with distributed delays Phys. Lett. A 351 48-52 (Pubitemid 43175736)
    • (2006) Physics Letters, Section A: General, Atomic and Solid State Physics , vol.351 , Issue.1-2 , pp. 48-52
    • Huang, T.1
  • 13
    • 9144224584 scopus 로고
    • Dissipative dynamical systems. Part II: Linear systems with quadratic supply rates
    • Willems J C 1972 Dissipative dynamical systems. Part II: linear systems with quadratic supply rates Arch. Ration. Mech. Anal. 45 321-93
    • (1972) Arch. Ration. Mech. Anal. , vol.45 , pp. 321-393
    • Willems, J.C.1
  • 15
    • 0032162905 scopus 로고    scopus 로고
    • Passivity analysis and passiication for uncertain signal processing systems
    • Xie L H, Fu M Y and Li H Z 1998 Passivity analysis and passiication for uncertain signal processing systems IEEE Trans. Signal Process. 46 2394-403
    • (1998) IEEE Trans. Signal Process. , vol.46 , pp. 2394-2403
    • Xie, L.H.1    Fu, M.Y.2    Li, H.Z.3
  • 16
    • 0035481261 scopus 로고    scopus 로고
    • Synchronization in arrays of coupled nonlinear systems: Passivity, circle criterion and observer design
    • Wu C W 2001 Synchronization in arrays of coupled nonlinear systems: passivity, circle criterion and observer design IEEE Trans. Circuits Syst. 148 1257-61
    • (2001) IEEE Trans. Circuits Syst. , vol.148 , pp. 1257-1261
    • Wu, C.W.1
  • 17
    • 61349130004 scopus 로고    scopus 로고
    • Passivity analysis for uncertain neural networks with discrete and distributed time-varying delays
    • Chen B, Li H, Lin C and Zhou Q 2009 Passivity analysis for uncertain neural networks with discrete and distributed time-varying delays Phys. Lett. A 373 1242-8
    • (2009) Phys. Lett. A , vol.373 , pp. 1242-1248
    • Chen, B.1    Li, H.2    Lin, C.3    Zhou, Q.4
  • 18
    • 70349598903 scopus 로고    scopus 로고
    • Improved results on passivity analysis of uncertain neural networks with time-varying discrete and distributed delays
    • Chen Y, Li W and Bi W 2009 Improved results on passivity analysis of uncertain neural networks with time-varying discrete and distributed delays Neural Process. Lett. 30 155-69
    • (2009) Neural Process. Lett. , vol.30 , pp. 155-169
    • Chen, Y.1    Li, W.2    Bi, W.3
  • 19
    • 33748491060 scopus 로고    scopus 로고
    • Passivity analysis of neural networks with time delay
    • Li C G and Liao X F 2005 Passivity analysis of neural networks with time delay IEEE Trans. Circuits Syst. II 52 471-5
    • (2005) IEEE Trans. Circuits Syst. II , vol.52 , pp. 471-475
    • Li, C.G.1    Liao, X.F.2
  • 20
    • 42449161839 scopus 로고    scopus 로고
    • A delay-dependent approach to passivity analysis for uncertain neural networks with time-varying delay
    • Lu C-Y, Tsai H-H, Su T-J, Tsai J S-H and Liao C-W 2008 A delay-dependent approach to passivity analysis for uncertain neural networks with time-varying delay Neural Process. Lett. 27 237-46
    • (2008) Neural Process. Lett. , vol.27 , pp. 237-246
    • Lu, C.-Y.1    Tsai, H.-H.2    Su, T.-J.3    Tsai, J.S.-H.4    Liao, C.-W.5
  • 21
    • 34250162452 scopus 로고    scopus 로고
    • Further results on passivity analysis of delayed cellular neural networks
    • Park J H 2007 Further results on passivity analysis of delayed cellular neural networks Chaos Solitons Fractals 34 1546-51
    • (2007) Chaos Solitons Fractals , vol.34 , pp. 1546-1551
    • Park, J.H.1
  • 22
    • 61849162696 scopus 로고    scopus 로고
    • Passivity analysis of discrete-time stochastic neural networks with time-varying delays
    • Song Q, Liang J and Wang Z 2009 Passivity analysis of discrete-time stochastic neural networks with time-varying delays Neurocomputing 72 1782-8
    • (2009) Neurocomputing , vol.72 , pp. 1782-1788
    • Song, Q.1    Liang, J.2    Wang, Z.3
  • 23
    • 74949084143 scopus 로고    scopus 로고
    • New results on passivity analysis of uncertain neural networks with time-varying delays
    • Song Q and Wang Z 2010 New results on passivity analysis of uncertain neural networks with time-varying delays Int. J. Comput. Math. 87 668-78
    • (2010) Int. J. Comput. Math. , vol.87 , pp. 668-678
    • Song, Q.1    Wang, Z.2
  • 24
    • 69449095121 scopus 로고    scopus 로고
    • New passivity criteria for neural networks with time-varying delays
    • Zhang Z, Mou S, Lam J and Gao H 2009 New passivity criteria for neural networks with time-varying delays Neural Netw. 22 864-8
    • (2009) Neural Netw. , vol.22 , pp. 864-868
    • Zhang, Z.1    Mou, S.2    Lam, J.3    Gao, H.4
  • 25
    • 29144449166 scopus 로고    scopus 로고
    • Passivity and passiication of uncertain fuzzy systems
    • Li C, Zhang H and Liao X 2005 Passivity and passiication of uncertain fuzzy systems IEE Proc. Circuits Devices Syst. 152 649-53
    • (2005) IEE Proc. Circuits Devices Syst. , vol.152 , pp. 649-653
    • Li, C.1    Zhang, H.2    Liao, X.3
  • 26
    • 33846864417 scopus 로고    scopus 로고
    • Passivity and passiication of fuzzy systems with time delays
    • Li C G, Zhang H B and Liao X F 2006 Passivity and passiication of fuzzy systems with time delays Comput. Math. Appl. 52 1067-78
    • (2006) Comput. Math. Appl. , vol.52 , pp. 1067-1078
    • Li, C.G.1    Zhang, H.B.2    Liao, X.F.3
  • 27
    • 65449144824 scopus 로고    scopus 로고
    • Robust exponential stability of interval Cohen-Grossberg neural networks with time-varying delays
    • Gao M and Cui B 2009 Robust exponential stability of interval Cohen-Grossberg neural networks with time-varying delays Chaos Solitons Fractals 40 1914-28
    • (2009) Chaos Solitons Fractals , vol.40 , pp. 1914-1928
    • Gao, M.1    Cui, B.2
  • 28
    • 3242878507 scopus 로고    scopus 로고
    • Global robust asymptotical stability of multi-delayed interval neural networks: An LMI approach
    • Li C D, Liao X F and Zhang R 2004 Global robust asymptotical stability of multi-delayed interval neural networks: an LMI approach Phys. Lett. A 328 452-62
    • (2004) Phys. Lett. A , vol.328 , pp. 452-462
    • Li, C.D.1    Liao, X.F.2    Zhang, R.3
  • 29
    • 70449525124 scopus 로고    scopus 로고
    • Modified criteria for global robust stability of interval delayed neural networks
    • Singh V 2009 Modified criteria for global robust stability of interval delayed neural networks Appl. Math. Comput. 215 3124-33
    • (2009) Appl. Math. Comput. , vol.215 , pp. 3124-3133
    • Singh, V.1
  • 31
    • 77954348844 scopus 로고    scopus 로고
    • Passivity analysis of stochastic time-delay neural networks
    • Chen Y, Wang H, Xue A and Lu R 2009 Passivity analysis of stochastic time-delay neural networks Nonlinear Dyn. 61 71-82
    • (2009) Nonlinear Dyn. , vol.61 , pp. 71-82
    • Chen, Y.1    Wang, H.2    Xue, A.3    Lu, R.4
  • 32
    • 75749098788 scopus 로고    scopus 로고
    • On passivity analysis for stochastic neural networks with interval time-varying delay
    • Fu J, Zhang H, Ma T and Zhang Q 2010 On passivity analysis for stochastic neural networks with interval time-varying delay Neurocomputing 73 795-801
    • (2010) Neurocomputing , vol.73 , pp. 795-801
    • Fu, J.1    Zhang, H.2    Ma, T.3    Zhang, Q.4
  • 33
    • 77955926340 scopus 로고    scopus 로고
    • LMI conditions for stability of impulsive stochastic Cohen-Grossberg neural networks with mixed delays
    • Fu X and Li X 2010 LMI conditions for stability of impulsive stochastic Cohen-Grossberg neural networks with mixed delays Commun. Nonlinear Sci. Numer. Simulat. 16 435-54
    • (2010) Commun. Nonlinear Sci. Numer. Simulat. , vol.16 , pp. 435-454
    • Fu, X.1    Li, X.2
  • 34
    • 20444396501 scopus 로고    scopus 로고
    • Stochastic stability analysis of fuzzy Hopfield neural networks with time-varying delays
    • DOI 10.1109/TCSII.2005.846305
    • Huang H, Ho D W C and Lam J 2005 Stochastic stability analysis of fuzzy Hopfield neural networks with time-varying delays IEEE Trans. Circuits Syst. II 52 251-5 (Pubitemid 40794924)
    • (2005) IEEE Transactions on Circuits and Systems II: Express Briefs , vol.52 , Issue.5 , pp. 251-255
    • Huang, H.1    Ho, D.W.C.2    Lam, J.3
  • 35
    • 70449526703 scopus 로고    scopus 로고
    • Delay-dependent robust stability for uncertain stochastic fuzzy Hopfield neural networks with time-varying delays
    • Sheng L, Gao M and Yang H 2009 Delay-dependent robust stability for uncertain stochastic fuzzy Hopfield neural networks with time-varying delays Fuzzy Sets Syst. 160 3503-17
    • (2009) Fuzzy Sets Syst. , vol.160 , pp. 3503-3517
    • Sheng, L.1    Gao, M.2    Yang, H.3


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