Control the population of free viruses in nonlinear uncertain HIV system using Q-learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/article/10.1007/s13042-017-0639-y/fulltext.html
Reference46 articles.
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2. Wein L, Zenio S, Nowak M (1997) Dynamics multidrug therapies for HIV: a theoretic approach. J Theor Biol 185:15–29
3. Ge S, Tian Z, Lee T (2005) Nonlinear control of a dynamic model of HIV-1. IEEE Trans Biomed Eng 52(3):353–361
4. Brandt ME, Chen G (2001) Feedback control of a biodynamical model of HIV-1. IEEE Trans Biomed Eng 48(7):754–759
5. Ledzewicz U, Schattler H (2002) On optimal controls for a general mathematical model for chemotherapy of HIV. In: Proceedings of the American control conference, pp 3454–3459
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