Extremum seeking-based optimal EGR set-point design for combustion engines in lean-burn mode

DOI10.1007/S11768-021-00047-XzbMath1490.93036OpenAlexW3163896363MaRDI QIDQ2138907

Tielong Shen, Haoyun Shi, Ya-hui Zhang

Publication date: 17 May 2022

Published in: Control Theory and Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11768-021-00047-x

zbMATH Keywords

extremum seekingEGR optimizationlean burn mode

Mathematics Subject Classification ID

Application models in control theory (93C95) Design techniques (robust design, computer-aided design, etc.) (93B51)

Cites Work

• Stochastic averaging and stochastic extremum seeking
• Stochastic approximation methods for constrained and unconstrained systems
• Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
• Extremum Seeking With Stochastic Perturbations
• Nonlinear observer-based control design and experimental validation for gasoline engines with EGR
• A Stochastic Approximation Method

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