@article{MTMT:2238358,
	title = {Comparison of Path Tracking Flat Control and Working Point Linearization Based Set Point Control of Tumor Growth with Angiogenic Inhibition},
	url = {https://m2.mtmt.hu/api/publication/2238358},
	author = {Drexler, Dániel András and Sápi, Johanna and Szeles, Annamária and Harmati, István and Kovács, Levente},
	journal-iso = {BS-TACCS},
	journal = {BULETINUL STIINTIFIC AL UNIVERSITATII POLITEHNICA DIN TIMISOARA ROMANIA SERIA AUTOMATICA SI CALCULATORAE},
	volume = {57 (71)},
	unique-id = {2238358},
	issn = {1224-600X},
	abstract = {Targeted molecular therapies (TMT) represent new perspectives in cancer treatment, fighting against the specific characteristic of the investigated tumor. Antiangiogenic therapy represents a specific TMT and its role is to stop the angiogenesis of the tumor, the process of forming new blood vessels; hence, to stop tumor growth. Proper control algorithms for tumor growth control with angiogenic inhibition are analyzed in the current article in order to find optimal therapeutic protocols. Two slightly different approaches are compared: nonlinear control by exact linearization with path tracking control, and linear control by working point linearization with set point control. The control strategies are compared in terms of the characteristics of the input signal (the inhibitor, drug intake) that is crucial if the therapy will be put into practice.},
	year = {2012},
	pages = {113-120},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800}
}

@inproceedings{MTMT:2150957,
	title = {Flat control of tumor growth with angiogenic inhibition},
	url = {https://m2.mtmt.hu/api/publication/2150957},
	author = {Drexler, Dániel András and Sápi, Johanna and Szeles, Annamária and Harmati, István and Kovács, Adalbert and Kovács, Levente},
	booktitle = {7th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2012},
	doi = {10.1109/SACI.2012.6249998},
	unique-id = {2150957},
	year = {2012},
	pages = {179-183},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800}
}

@article{MTMT:2150960,
	title = {Népegészségügyi problémák számítógépes modellezése},
	url = {https://m2.mtmt.hu/api/publication/2150960},
	author = {Kovács, Levente and Ferenci, Tamás and Sápi, Johanna and Szalay, Péter},
	journal-iso = {IME},
	journal = {IME},
	volume = {11},
	unique-id = {2150960},
	issn = {1588-6387},
	abstract = {A dolgozat a Budapesti Műszaki és Gazdaságtudományi Egyetem Irányítástechnika és Informatika Tanszékének Orvosinformatikai Laboratóriumában folyó, népegészségügyi szempontból jelentős betegségek számítógépes modellezésében és szabályozásában elért aktuális kutatási eredményeket foglalja össze. Három témakörben – cukorbetegség (mesterséges hasnyálmirigy), elhízás (elhízás és laboreredmények összefüggései) és angiogenézist gátló tumorterápia – fejlesztettünk ki optimális szabályozási algoritmusokat, valamint prediktív modell-alapú eljárásokat. Jelen publikáció eddig elért eredményeinket foglalja össze.},
	year = {2012},
	eissn = {1789-9974},
	pages = {49-55},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800; Ferenci, Tamás/0000-0001-6791-3080}
}

@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}
}