Model predictive engine air-ratio control using online sequential relevance vector machine

DOI10.1155/2012/731825zbMath1248.93019OpenAlexW2101966381WikidataQ58908011 ScholiaQ58908011MaRDI QIDQ446502

Pak-Kin Wong, Hang-Cheong Wong, Chi-Man Vong

Publication date: 6 September 2012

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/731825

zbMATH Keywords

adaptive modeldecremental least-squares support vector machine (DLSSVM)diagonal recurrent neural network (DRNN)engine power, brake-specific fuel consumption, emission ratemodel predictive control (MPC) algorithmrelevance vector machine (RVM)relevance vector machine model predictive controller (RVMMPC)

Mathematics Subject Classification ID

Application models in control theory (93C95) Stochastic learning and adaptive control (93E35)

Cites Work

• Weighted least squares support vector machines: robustness and sparse approximation
• An efficient quadratic fit-sectioning algorithm for minimization without derivatives

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