5 papers
Cold-Start Modeling and On-Line Optimal Control of the Three-Way Catalyst
Jonathan Lock, Kristoffer Clasén, Jonas Sjöblom +1
We present a three-way catalyst (TWC) cold-start model, calibrate the model based on experimental data from multiple operating points, and use the model to generate a Pareto-optima…
Undiscounted Control Policy Generation for Continuous-Valued Optimal Control by Approximate Dynamic Programming
Jonathan Lock, Tomas McKelvey
We present a numerical method for generating the state-feedback control policy associated with general undiscounted, constant-setpoint, infinite-horizon, nonlinear optimal control…
Design and comparative analyses of optimal feedback controllers for hybrid electric vehicles
Maryam Razi, Nikolce Murgovski, Tomas McKelvey +1
This paper presents an adaptive equivalent consumption minimization strategy (ECMS) and a linear quadratic tracking (LQT) method for optimal power-split control of combustion engin…
Improving Linear State-Space Models with Additional Iterations
Suat Gumussoy, Ahmet Arda Ozdemir, Tomas McKelvey +3
An estimated state-space model can possibly be improved by further iterations with estimation data. This contribution specifically studies if models obtained by subspace estimation…
Learning Hierarchical Feature Space Using CLAss-specific Subspace Multiple Kernel -- Metric Learning for Classification
Yinan Yu, Tomas McKelvey
Metric learning for classification has been intensively studied over the last decade. The idea is to learn a metric space induced from a normed vector space on which data from diff…