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Learning-Based Controller Design with Application to a Chiller Process
Christian Rosdahl
Department of Automatic Control
ELLIIT: the Linköping-Lund initiative on IT and mobile communication
Wallenberg AI, Autonomous Systems and Software Program (WASP)
Research output
:
Thesis
›
Licentiate Thesis
203
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Engineering
Controller Design
100%
Dual Control
100%
Models
66%
Multiple-Input Multiple-Output
66%
Energy Engineering
33%
Model System
33%
Natural Resources Exploration
33%
Conditional Probability
33%
Operating Point
33%
Single Output
33%
Machine Learning Method
33%
Optimal Control
33%
Value Function
33%
Chemical Engineering
Neural Network
100%
Uncertain System
100%
Learning System
50%
Mathematics
Functional Equation
40%
Variations
20%
Stochastics
20%
Matrix (Mathematics)
20%
Points
20%
Probability Distribution
20%
Neural Network
20%
Minimizes
20%
Optimal Control Theory
20%
Tradeoff
20%
Control Theory
20%
Material Science
Paper
100%
Stochastic Simulation
20%