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Volumn 24, Issue 2, 2011, Pages 398-408

Dynamical systems identification using Gaussian process models incorporated local models

Author keywords

[No Author keywords available]

Indexed keywords

DEEP NEURAL NETWORKS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); NONLINEAR DYNAMICAL SYSTEMS;

EID: 79151477311     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2010.10.010     Document Type: Article
Times cited : (53)

References (19)
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    • Gregorcic, G., Lightbody, G., 2003a. An affine Gaussian process approach for nonlinear system identification. Systems Science Journal 29 (2), 47-63.
    • (2003) Systems Science Journal , vol.29 , Issue.2 , pp. 47-63
    • Gregorcic, G.1    Lightbody, G.2
  • 4
    • 77649324115 scopus 로고    scopus 로고
    • From multiple model networks to the Gaussian processes prior model
    • Faro
    • Gregorcic, G., Lightbody, G., 2003b. From multiple model networks to the Gaussian processes prior model. In: Proceedings of IFAC ICONS Conference, Faro, pp. 149-154.
    • (2003) Proceedings of IFAC ICONS Conference , pp. 149-154
    • Gregorcic, G.1    Lightbody, G.2
  • 5
    • 0034205619 scopus 로고    scopus 로고
    • On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models
    • Johansen, T., Shorten, R., Murray-Smith, R., 2000. On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models. IEEE Transactions on Fuzzy Systems 8 (3), 297-313.
    • (2000) IEEE Transactions on Fuzzy Systems , vol.8 , Issue.3 , pp. 297-313
    • Johansen, T.1    Shorten, R.2    Murray-Smith, R.3
  • 9
    • 8744252785 scopus 로고    scopus 로고
    • Derivative observations used in predictive control
    • Melecon, Dubrovnik
    • Kocijan, J., Leith, D., 2004. Derivative observations used in predictive control. In: Proceedings of IEEE Melecon, Dubrovnik.
    • (2004) Proceedings of IEEE
    • Kocijan, J.1    Leith, D.2
  • 13
    • 0000469269 scopus 로고    scopus 로고
    • Robustness of fuzzy control and its application to a thermal plant
    • Matko, D., Skrjanc, I., Music, G., 2000. Robustness of fuzzy control and its application to a thermal plant. Mathematics and Computer in Simulation 51, 245-255.
    • (2000) Mathematics and Computer in Simulation , vol.51 , pp. 245-255
    • Matko, D.1    Skrjanc, I.2    Music, G.3
  • 15
    • 0142255296 scopus 로고    scopus 로고
    • On transient dynamics, off-equilibrium behaviour and identification in blended multiple model structures
    • BA-14, Karlsruhe
    • Murray-Smith, R., Johansen, T., Shorten, R., 1999. On transient dynamics, off-equilibrium behaviour and identification in blended multiple model structures. In: Proceedings of European Control Conference, BA-14, Karlsruhe.
    • (1999) Proceedings of European Control Conference
    • Murray-Smith, R.1    Johansen, T.2    Shorten, R.3
  • 16
    • 0003301456 scopus 로고    scopus 로고
    • Bayesian Learning for Neural Networks
    • Springer-Verlag, New York
    • Neal, R., 1996. Bayesian Learning for Neural Networks. Lecture Notes in Statistics, vol. 118. Springer-Verlag, New York.
    • (1996) Lecture Notes in Statistics , vol.118
    • Neal, R.1
  • 19
    • 0003017575 scopus 로고    scopus 로고
    • Prediction with Gaussian processes: From linear regression and beyond
    • Jordan M. (Ed.) Springer, Berlin
    • Williams, C., 1998. Prediction with Gaussian processes: from linear regression and beyond. In: Jordan, M. (Ed.), Learning in Graphical Models of NATO Science Series D, vol. 89. Springer, Berlin, pp. 599-621.
    • (1998) Learning in Graphical Models of NATO Science Series D , vol.89 , pp. 599-621
    • Williams, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.