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Now showing items 111-116 of 116
A dynamic prognosis scheme for flexible operation of gas turbines
(
Elsevier Ltd
, 2016 , Article)
The increase in energy demand has led to expansion of renewable energy sources and their integration into a more diverse energy mix. Consequently the operation of thermal power plants, which are spearheaded by the gas ...
LPV model development and control of a solution copolymerization reactor
(
Elsevier Ltd
, 2016 , Article)
In this paper, linear parameter-varying (LPV) control is considered for a solution copolymerization reactor, which takes into account the time-varying nature of the parameters of the process. The nonlinear model of the ...
Reinforcement learning-based control of drug dosing for cancer chemotherapy treatment
(
Elsevier Inc.
, 2017 , Article)
The increasing threat of cancer to human life and the improvement in survival rate of this disease due to effective treatment has promoted research in various related fields. This research has shaped clinical trials and ...
Reduced LPV Modeling and Control of a Solution Copolymerization Reactor
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Controlling the operation of polymer reactors is a highly important task that aims at maximizing the production rate and the product quality and also minimizing the transition losses due to the high consumer demands, as ...
LEARNING-BASED CONTROL OF CANCER CHEMOTHERAPY TREATMENT
(
Elsevier B.V.
, 2017 , Article)
The increasing threat of cancer to human life and the improvement in survival rate of this disease due to effective treatment has promoted research in various related fields. This research has shaped clinical trials and ...
An efficient component map generation method for prediction of gas turbine performance
(
American Society of Mechanical Engineers (ASME)
, 2014 , Conference Paper)
Improving efficiency, reliability and availability of gas turbines have become more than ever one of the main areas of interest in gas turbine research. This is mainly due to the stringent environmental regulations that ...