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Model-based angiogenic inhibition of tumor growth using modern robust control method.

, , , , , , and . Computer Methods and Programs in Biomedicine, 114 (3): e98-e110 (2014)

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Tumor model parameter estimation for therapy optimization using artificial neural networks., and . SMC, page 1254-1259. IEEE, (2021)Symbolic robot simulation software for educational purposes., and . ECC, page 5081-5086. IEEE, (2009)Quasi-Model-Based Control of Type 1 Diabetes Mellitus., , , , , and . J. Electrical and Computer Engineering, (2011)Modeling of Tumor Growth Incorporating the Effects of Necrosis and the Effect of Bevacizumab., , and . Complexity, (2017)Model-based healthcare applications at Óbuda University., , , , , , , , , and 3 other author(s). SACI, page 183-187. IEEE, (2014)Model-based angiogenic inhibition of tumor growth using modern robust control method., , , , , , and . Computer Methods and Programs in Biomedicine, 114 (3): e98-e110 (2014)Extended tumor growth model for combined therapy., , and . SMC, page 886-891. IEEE, (2019)Tumor Growth Control by TP-LPV-LMI Based Controller., , and . SMC, page 2564-2569. IEEE, (2018)A Modified Inertial Method for Loop-free Decomposition of Acyclic Directed Graphs., and . MACRo, page 61-72. Scientia Publishing House, (2015)Discrete time state feedback with setpoint control, actual state observer and load estimation for a tumor growth model., , and . SACI, page 111-118. IEEE, (2016)