A Receding Horizon Sliding Controller for Automotive Engine Coldstart: Design and Hardware-in-the-Loop Testing With an Echo State Network High-Fidelity Model

DOI10.1002/ASJC.1305zbMath1346.93109OpenAlexW2558658794MaRDI QIDQ2821250

Nasser L. Azad, Andreas Hansen, J. Karl Hedrick, Ahmad Mozaffari

Publication date: 19 September 2016

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.1305

zbMATH Keywords

Brent's methodSI enginescoldstart operationhardware-in-the-loop testinghydrocarbon emissionsreceding horizon sliding control

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Discrete-time control/observation systems (93C55) Variable structure systems (93B12) Ecology (92D40)

Related Items (1)

Fuzzy Sliding‐mode Strategy for Air–fuel Ratio Control of Lean‐burn Spark Ignition Engines

Cites Work

• Unnamed Item
• Reservoir computing approaches to recurrent neural network training
• Constrained optimal control of linear and hybrid systems
• An efficient quadratic fit-sectioning algorithm for minimization without derivatives
• On the stability of discrete-time sliding mode control systems
• Automotive engine hybrid modelling and control for reduction of hydrocarbon emissions
• Sequential Minimax Search for a Maximum

This page was built for publication: A Receding Horizon Sliding Controller for Automotive Engine Coldstart: Design and Hardware-in-the-Loop Testing With an Echo State Network High-Fidelity Model