@inproceedings{MTMT:2247379,
	title = {Optimal tight glycaemic control supported by differential geometric methods},
	url = {https://m2.mtmt.hu/api/publication/2247379},
	author = {Kovács, Levente and Szalay, Péter and Benyó, Balázs István and Chase, JG},
	booktitle = {5th European Conference of the International Federation for Medical and Biological Engineering},
	doi = {10.1007/978-3-642-23508-5_91},
	unique-id = {2247379},
	abstract = {Optimal control of an Intensive Care Unit (ICU) metabolic model from nonlinear control point of view is presented in the current paper. The transformation of a clinically validated nonlinear model into a series of integrators via exact linearization and asymptotic output tracking is performed. Both methods need the value of the state variables; therefore Kalman-filter extended for nonlinear systems is applied. Finally, linear optimal LQ method is applied on the ICU model handled with differential geometric approach. Results are demonstrated on input data recorded in actual clinical environment. © 2011 Springer-Verlag Berlin Heidelberg.},
	keywords = {Optimization; LQ control; nonlinear systems; LINEARIZATION; intensive care units; Asymptotic tracking; Kalman-filtering; ICU model; Exact linearization},
	year = {2012},
	pages = {351-354},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800; Benyó, Balázs István/0000-0003-2770-9127}
}

@CONFERENCE{MTMT:2150955,
	title = {Validation results of a Hungarian artificial pancreas algorithm},
	url = {https://m2.mtmt.hu/api/publication/2150955},
	author = {Kovács, Levente and Szalay, Péter and Sas, Péter István and Németh, Máté and Almássy, Zsuzsanna and Felszeghy, Enikő and Kocsis, Győző and Wudi, Krisztina and Madarász, Eszter and Kerényi, Zsuzsa and Fövényi, József and Körner, Anna and Kautzky, László and Grósz, Andrea and Soós, Hajnalka and Orbán, Andrea and Benyó, Balázs István and Soós, Andrea and Török, András and Barkai, László},
	booktitle = {5th International Conference on Advanced Technologies & Treatment for Diabetes},
	unique-id = {2150955},
	year = {2012},
	pages = {1-1},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800; Benyó, Balázs István/0000-0003-2770-9127}
}

@inproceedings{MTMT:2679756,
	title = {Linear state-feedback control synthesis of tumor growth control in antiangiogenic therapy},
	url = {https://m2.mtmt.hu/api/publication/2679756},
	author = {Sápi, Johanna and Drexler, Dániel András and Harmati, István and Sápi, Zoltán and Kovács, Levente},
	booktitle = {IEEE 10th Jubilee International Symposium on Applied Machine Intelligence and Informatics, SAMI 2012},
	doi = {10.1109/SAMI.2012.6208945},
	unique-id = {2679756},
	abstract = {Cancer diseases are one of the most lethal, incurable diseases today, thus fighting cancer is an actual and urgent problem in clinical practice. Beside classical therapies, a new approach is represented by model-based therapies, where human body works as a complex system. These therapies are called targeted molecular therapies (TMTs). TMTs are fighting specifically against different cancer mechanisms and usually don’t eliminate the whole tumor, but control the tumor into a given state and keep it there. The aim of antiangiogenic cancer therapy is to prevent tumors from forming new blood vessels, because without angiogenesis tumor growth is inhibited. In this paper we analyze a nonlinear tumor growth model and design linear controllers based on a linear model acquired from working point linearization. Realized controllers are state feedback with pole placement, LQ control method and both controllers with state observer. Simulations are carried out and the controllers are analyzed in many aspects, including the working points used at linearization.},
	year = {2012},
	pages = {143-148},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800}
}

@article{MTMT:2150940,
	title = {Model-based analysis and synthesis of tumor growth under angiogenic inhibition: a case study},
	url = {https://m2.mtmt.hu/api/publication/2150940},
	author = {Drexler, Dániel András and Kovács, Levente and Sápi, Johanna and Harmati, István and Benyó, Zoltán},
	doi = {10.3182/20110828-6-IT-1002.02107},
	journal-iso = {IFAC PROCEEDINGS VOLUMES},
	journal = {IFAC PROCEEDINGS VOLUMES},
	volume = {44},
	unique-id = {2150940},
	issn = {1474-6670},
	abstract = {Anti-angiogenic theraphy is a promising method to fight cancer, however the special therapeutic drugs applied are quite expernsive. The aim of this paper is to define simple therapeutical guidelines for sufficient treatment with the usage of the least amount of drugs possible with the help of control theory. We analyse a nonlinear tumor growth model, and use optimal control to design Linear Quadratic controller for offline simulations. The linear model is gained by working point linearization, after the examination of the possible operation points.},
	year = {2011},
	pages = {3753-3758},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800}
}

@article{MTMT:1812386,
	title = {Induced L2-norm minimization of glucose-insulin system for Type I diabetic patients},
	url = {https://m2.mtmt.hu/api/publication/1812386},
	author = {Kovács, Levente and Benyó, Balázs István and Bokor, József and Benyó, Zoltán},
	doi = {10.1016/j.cmpb.2010.06.019},
	journal-iso = {COMPUT METH PROG BIO},
	journal = {COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE},
	volume = {102},
	unique-id = {1812386},
	issn = {0169-2607},
	year = {2011},
	eissn = {1872-7565},
	pages = {105-118},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800; Benyó, Balázs István/0000-0003-2770-9127; Bokor, József/0000-0002-3461-4807}
}

@inproceedings{MTMT:2676873,
	title = {Asymptotic output tracking in blood glucose control. A case study},
	url = {https://m2.mtmt.hu/api/publication/2676873},
	author = {Kovács, Levente and Szalay, Péter and Benyó, Balázs István and Geoffrey, J. Chase},
	booktitle = {50th IEEE Conference on Decision and Control and European Control Conference. (CDC-ECC 2011)},
	doi = {10.1109/CDC.2011.6161400},
	unique-id = {2676873},
	abstract = {Glucose is the primary source of energy for the human body. Keeping the blood glucose level between certain thresholds is essential for the proper energy transport. Insulin plays a key role in maintaining the glucose homeostasis. Because of its great importance, many models were published on either to describe the glucose-insulin interaction in case of patients under Intensive Care Unit (ICU), or to model Type 1 Diabetes Mellitus (T1DM). Currently for most of the models linear control concepts are used in order to design an appropriate controller. The aim of the current paper is to investigate applicability of nonlinear control theory providing exact mathematical background in the control problem of glucose-insulin interaction. Both ICU and T1DM cases are analyzed on well-known models with different complexity. Our aim is to hide the nonlinearity of the models by transforming the input signal so that the response of the model would mimic the behavior of a linear system; hence extending the validity of linear controllers. The asymptotic tracking problem needs the value of the state variables; therefore extended Kalman-filter is applied. The capabilities of this approach are examined through classical control algorithms and input data recorded in clinical environment.},
	year = {2011},
	pages = {59-64},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800; Benyó, Balázs István/0000-0003-2770-9127}
}

@inproceedings{MTMT:2150935,
	title = {Modeling and Optimal Control Strategies of Diseases with High Public Health Impact},
	url = {https://m2.mtmt.hu/api/publication/2150935},
	author = {Kovács, Levente and Szalay, Péter and Ferenci, Tamás and Drexler, Dániel András and Sápi, Johanna and Harmati, István and Benyó, Zoltán},
	booktitle = {Intelligent Engineering Systems (INES), 2011 15th IEEE International Conference on},
	doi = {10.1109/INES.2011.5954713},
	unique-id = {2150935},
	abstract = {This paper summarizes the results of research tasks in the field of physiological modeling and control of diseases with high public health impact carried out by the Biomedical Engineering Laboratory of the Budapest University of Technology and Economics. The developed and presented optimal algorithms and strategies focus on three diseases with high public health impact diabetes (the question of artificial pancreas), obesity (predicting obesity-related risks) and cancer (antiangiogenic chemotherapy). The studies are done together with different Hungarian hospitals, from where measurement data were obtained.},
	year = {2011},
	pages = {23-28},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800; Ferenci, Tamás/0000-0001-6791-3080}
}

@mastersthesis{MTMT:2150869,
	title = {Új elvek és céladekvát algoritmusok az inzulinadagolás szabályozásra cukorbetegek esetében},
	url = {https://m2.mtmt.hu/api/publication/2150869},
	author = {Kovács, Levente},
	publisher = {Budapest University of Technology and Economics},
	unique-id = {2150869},
	year = {2008},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800}
}

@article{MTMT:2150819,
	title = {Glucose-insulin control of Type1 diabetic patients in H2/H∞ space via Computer Algebra},
	url = {https://m2.mtmt.hu/api/publication/2150819},
	author = {Kovács, Levente and Paláncz, Béla},
	doi = {10.1007/978-3-540-73433-8_8},
	journal-iso = {LNCS},
	journal = {LECTURE NOTES IN COMPUTER SCIENCE},
	volume = {4545},
	unique-id = {2150819},
	issn = {0302-9743},
	abstract = {This article presents the H2/Hinf control (disturbance rejection LQ method) of the Bergman minimal model [1] for Type1 diabetic patients under intensive care using computer algebra. To design the optimal controller, the disturbance rejection LQ method based on the minimax differential game is applied. The critical, minimax value of the scaling parameter gamma_crit is determined by using the Modified Riccati Control Algebraic (MCARE) equation employing reduced Groebner basis solution on rational field. The numerical results are in good agreement with those of the Control Toolbox of MATLAB. It turned out, that in order to get positive definite solution stabilizing the closed loop, should be greater than gamma_crit. The obtained results are compared with the classical LQ technique on the original non-linear system, using a standard meal disturbance situation. It is also demonstrated that for gamma >> gamma_crit, the gain matrix approaches the traditional LQ optimal control design solution. The symbolic and numerical computations were carried out with Mathematica 5.2, and with the CSPS Application 2, as well as with MATLAB 6.5.},
	year = {2007},
	eissn = {1611-3349},
	pages = {95-109},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800}
}

@article{MTMT:2623590,
	title = {Education and research in biomedical engineering of the Budapest University of Technology and Economics},
	url = {https://m2.mtmt.hu/api/publication/2623590},
	author = {Benyó, Zoltán},
	doi = {10.1556/APhysiol.93.2006.1.2},
	journal-iso = {ACTA PHYSIOL HUNG},
	journal = {ACTA PHYSIOLOGICA HUNGARICA},
	volume = {93},
	unique-id = {2623590},
	issn = {0231-424X},
	year = {2006},
	eissn = {1588-2683},
	pages = {13-21}
}

@book{MTMT:1044636,
	title = {Irányítási rendszerek elmélete és tervezése I. Egyváltozós szabályozások. 2. javított kiadás},
	url = {https://m2.mtmt.hu/api/publication/1044636},
	isbn = {963058249X},
	author = {Lantos, Béla},
	publisher = {Akadémiai Kiadó Zrt.},
	unique-id = {1044636},
	year = {2005}
}

@book{MTMT:25698,
	title = {Irányítási rendszerek elmélete és tervezése},
	url = {https://m2.mtmt.hu/api/publication/25698},
	author = {Lantos, Béla},
	publisher = {Akadémiai Kiadó Zrt.},
	unique-id = {25698},
	year = {2003}
}