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Volumn 30, Issue 5, 2008, Pages 371-396

Non-linear model predictive control for models with local information and uncertainties

Author keywords

Gaussian process model; Linear local models; Model uncertainties; Non linear predictive control

Indexed keywords

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); LINEAR CONTROL SYSTEMS; MODEL PREDICTIVE CONTROL; UNCERTAINTY ANALYSIS;

EID: 57049184761     PISSN: 01423312     EISSN: None     Source Type: Journal    
DOI: 10.1177/0142331208095433     Document Type: Article
Times cited : (31)

References (21)
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    • Gregorčič, G.1    Lightbody, G.2
  • 7
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    • Johansen, T.A., Hunt, K.J., Gawthrop, P.J. and Fritz, H. 1998: Off-equilibrium linearization and design of gain scheduled control with application to vehicle speed control. Control Engineering Practice 6, 167-80.
    • (1998) Control Engineering Practice , vol.6 , pp. 167-180
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  • 8
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    • On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models
    • Johansen, T.A., Shorten, R. and Murray-Smith, R. 2000: On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models. IEEE Transactions on Fuzzy Systems 8, 297-313.
    • (2000) IEEE Transactions on Fuzzy Systems , vol.8 , pp. 297-313
    • Johansen, T.A.1    Shorten, R.2    Murray-Smith, R.3
  • 11
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    • Nonlinear Predictive Control with A Gaussian Process Model
    • Murray-Smith, R. and Shorten, R., editors. Springer.
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    • (2005) Switching and Learning in Feedback Systems
    • Kocijan, J.1    Murray-Smith, R.2
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    • Nonlinear predictive control, Theory and practice
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  • 15
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    • Divide & conquer identification: Using Gaussian process priors to combine derivative and non-derivative observations in a consistent manner
    • Leith, D.J., Leithead, W.E., Solak, E. and Murray-Smith, R. 2002: Divide & conquer identification: Using Gaussian process priors to combine derivative and non-derivative observations in a consistent manner. In Conference on Decision and Control 2002, Las Vegas, 624-29.
    • Conference on Decision and Control 2002
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  • 18
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.