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Volumn 10, Issue 6, 2003, Pages 915-928

Using adaptive recurrent neural networks for chaos control

Author keywords

Adaptive control; Chaos synchronization; Dynamic neural networks; Inverse optimal design; Lyapunov function; Stability

Indexed keywords


EID: 4644349428     PISSN: 14928760     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (15)
  • 1
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    • Narendra, K.S.1    Parthasarathy, K.2
  • 4
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    • Nonlinear adaptive trajectory tracking using dynamic neural networks
    • Nov.
    • A. S. Poznyak, W. Yu, E. N. Sanchez, and J. P. Perez, "Nonlinear adaptive trajectory tracking using dynamic neural networks", IEEE Trans. on Neural Networks, vol. 10, no 6, pp 1402-1411, Nov. 1999.
    • (1999) IEEE Trans. on Neural Networks , vol.10 , Issue.6 , pp. 1402-1411
    • Poznyak, A.S.1    Yu, W.2    Sanchez, E.N.3    Perez, J.P.4
  • 8
    • 0017009905 scopus 로고    scopus 로고
    • The stability of nonlinear dissipative systems
    • D. J. Hill and P. Moylan, "The Stability of nonlinear dissipative systems", IEEE Trans. on Auto. Contr., vol. 21, 708-711, 1996.
    • (1996) IEEE Trans. on Auto. Contr. , vol.21 , pp. 708-711
    • Hill, D.J.1    Moylan, P.2
  • 12
    • 0035609540 scopus 로고    scopus 로고
    • Using dynamic neural control to generate chaos: An inverse optimal control approach
    • to appear
    • E. N. Sanchez, J. P. Perez and G. Chen, "Using dynamic neural control to generate chaos: An inverse optimal control approach", Int. J. of Bifurcation and Chaos, to appear, 2001.
    • (2001) Int. J. of Bifurcation and Chaos
    • Sanchez, E.N.1    Perez, J.P.2    Chen, G.3
  • 13
    • 0031106016 scopus 로고    scopus 로고
    • Dynamical neural networks that ensure exponential identification error convergence
    • E. B. Kosmatopoulos et al., "Dynamical neural networks that ensure exponential identification error convergence", Neural Networks, vol. 1, no. 2, pp 299-314, 1997.
    • (1997) Neural Networks , vol.1 , Issue.2 , pp. 299-314
    • Kosmatopoulos, E.B.1
  • 14
    • 0004178386 scopus 로고    scopus 로고
    • Prentice Hall, Upper Saddle River, NJ, USA
    • H. Khalil, Nonlinear Systems, 2nd Ed., Prentice Hall, Upper Saddle River, NJ, USA, 1996.
    • (1996) Nonlinear Systems, 2nd Ed.
    • Khalil, H.1
  • 15
    • 0033225902 scopus 로고    scopus 로고
    • Input-to-state stability analysis for namic neural networks
    • N. Sanchez and J. P. Perez, "Input-to-state stability analysis for namic neural networks", IEEE Trans. Circuits Syst. I, vol. 46, pp 1395-1398, 1999.
    • (1999) IEEE Trans. Circuits Syst. I , vol.46 , pp. 1395-1398
    • Sanchez, N.1    Perez, J.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.