Gaussian process-based real-time learning for safety critical applications
The safe operation of physical systems typically relies on high-quality models. Since a
continuous stream of data is generated during run-time, such models are often obtained …
continuous stream of data is generated during run-time, such models are often obtained …
Comparative study on low ambient temperature regulated/unregulated emissions characteristics of idling light-duty diesel vehicles at cold start and hot restart
J Ko, J Son, CL Myung, S Park - Fuel, 2018 - Elsevier
Since it is common for vehicles with idle engines to be stored indoors during the winter
season to remain warm, better constraints are needed for idling emissions at low ambient …
season to remain warm, better constraints are needed for idling emissions at low ambient …
Accelerometer based robust estimation of in-cylinder pressure for cycle-to-cycle combustion control
W Jeon, A Georgiou, Z Sun… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article develops a new approach for the estimation of in-cylinder pressure and
combustion variables for cycle-to-cycle combustion control in diesel engines. Such …
combustion variables for cycle-to-cycle combustion control in diesel engines. Such …
Real-time regression with dividing local Gaussian processes
The increased demand for online prediction and the growing availability of large data sets
drives the need for computationally efficient models. While exact Gaussian process …
drives the need for computationally efficient models. While exact Gaussian process …
Estimation of the polytropic index for in-cylinder pressure prediction in engines
Y Lee, K Min - Applied Thermal Engineering, 2019 - Elsevier
Compression and expansion strokes in internal combustion engines can be characterized
by the well-known polytropic process, PV n= constant, which describes the relationship …
by the well-known polytropic process, PV n= constant, which describes the relationship …
An EGR performance evaluation and decision-making approach based on grey theory and grey entropy analysis
X Zu, C Yang, H Wang, Y Wang - Plos one, 2018 - journals.plos.org
Exhaust gas recirculation (EGR) is one of the main methods of reducing NOX emissions and
has been widely used in marine diesel engines. This paper proposes an optimized …
has been widely used in marine diesel engines. This paper proposes an optimized …
Prediction of NOx considering NO and NO2 for a CI engine
Y Lee, S Lee, K Min - Proceedings of the Institution of …, 2022 - journals.sagepub.com
Nitrogen oxides (NO x) are one of the main harmful emissions from diesel engines.
Regulations on emissions are becoming more stringent; consequently, research should aim …
Regulations on emissions are becoming more stringent; consequently, research should aim …
Investigations of the usefulness of dilatometric methods in the diagnostics of combustion engines
M Idzior, W Karpiuk - Energies, 2021 - mdpi.com
Due to rapidly progressing development in the field of materials used in the automotive
industry, research methods enabling the validation of the properties of materials used in …
industry, research methods enabling the validation of the properties of materials used in …
Modeling of transient gasoline engine emissions using data-driven modeling techniques
In recent years, the automotive industry has shifted from purely combustion engine-driven
vehicles towards hybridization due to the introduction of CO2 emission legislation. Hybrid …
vehicles towards hybridization due to the introduction of CO2 emission legislation. Hybrid …
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
A Lederer - 2023 - mediatum.ub.tum.de
While Gaussian process (GP) models promise to enable learning control, their application
creates theoretical and practical issues. In this thesis, theoretical challenges are addressed …
creates theoretical and practical issues. In this thesis, theoretical challenges are addressed …