Enhancement of the immune system in HIV dynamics by output feedback

Automatica

Volumn 45, Issue 7, 2009, Pages 1765-1770

  Chang, H ^a   Astolfi, A ^a,b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

Biological control; HIV AIDS; Nonlinear biological systems; Positive systems; Switching control

Indexed keywords

BIOLOGICAL CONTROL; HIV/AIDS; NONLINEAR BIOLOGICAL SYSTEMS; POSITIVE SYSTEMS; SWITCHING CONTROL;

BIOLOGICAL SYSTEMS; DRUG THERAPY; IMMUNOLOGY; SWITCHING SYSTEMS;

FEEDBACK;

EID: 67349251194     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2009.03.016     Document Type: Article

References (18)

1. Adams B.M., Banks H.T., Davidian M., Kwon H., Tran H.T., Wynne S.N., et al. HIV dynamics: Modeling, data analysis, and optimal treatment protocols. Journal of Computational and Applied Mathematics 184 (2005) 10-49
2. Ananworanich J., Gayet-Ageron A., Le Braz M., Prasithsirikul W., Chetchotisakd P., Kiertiburanakul S., et al. CD4-guided scheduled treatment interruptions compared with continuous therapy for patients infected with HIV-1: results of the Staccato randomised trial. The Lancet 368 (2006) 459-465
3. Autran B., and Carcelain G. AIDS: Boosting immunity to HIV-can the virus help?. Science 290 5493 (2000) 946-949
4. Chang, H., & Astolfi, A. (2008). Estimation of immune states in HIV dynamics. In Proc. of conference on decision and control (pp. 1759-1764)
5. Chang H., and Astolfi A. Activation of immune response in disease dynamics via controlled drug scheduling. IEEE Transactions on Automation Science and Engineering 6 2 (2009) 248-255
6. Chang H., and Astolfi A. Control of HIV infection dynamics Approximating high-order dynamics by adapting reduced-order model parameters. IEEE Control Systems Magazine 28 April (2008) 28-39
7. Ho D.D., Neumann A.U., Perelson A.S., Chen W., Leonard J.M., and Markowitz M. Rapid turnover of plasma virions and CD4 lymphocytes in HIV-1 infection. Nature 373 (1995) 123-126
8. Khalil H.K. Nonlinear systems. 3rd ed. (2002), Prentice-Hall
9. Lisziewicz J., Rosenberg E., Lieberman J., Jessen H., Lopalco L., Siliciano R., et al. Control of HIV despite the discontinuation of antiretroviral therapy. New England Journal of Medicine 340 21 (1999) 1683-1684
10. Ortiz G.M., Nixon D.F., Trkola A., Binley J., Jin X., Bonhoeffer S., et al. HIV-1-specific immune responses in subjects who temporarily contain virus replication after discontinuation of highly active antiretroviral therapy. Journal of Clinical Investigation 104 (1999) R13-R18
11. Perelson A.S., and Nelson P.W. Mathematical analysis of HIV-1 dynamics in vivo. SIAM Review 41 1 (1999) 3-44
12. Shim H., Han S.J., Jeong I.S., Chung C.C., Nam S.W., and Seo J.H. Optimal scheduling of drug treatment for HIV infection: Continuous dose control and receding horizon control. International Journal of Control, Automation and Systems 1 3 (2003) 282-288
13. Shim H., Jo N.H., Chang H., and Seo J.H. A system theoretic study on a treatment of AIDS patient by achieving long-term non-progressor. Automatica 45 (2009) 611-622
14. Wodarz D. Helper-dependent vs. helper-independent CTL responses in HIV infection: Implications for drug therapy and resistance. Journal of Theoretical Biology 213 (2001) 447-459
15. Wodarz D., and Nowak M.A. Specific therapy regimes could lead to long-term immunological control of HIV. Proceedings of National Academy Science 96 25 (1999) 14464-14469
16. Xia X., and Moog C.H. Identifiability of nonlinear systems with applications to HIV/AIDS models. IEEE Transactions on Automatic Control 48 2 (2003) 330-336
17. Zurakowski, R. (2006). An output-feedback MPC-based scheduling method for enhancing immune response to HIV. In Proc. of American control conference(pp. 4800-4805)
18. Zurakowski R., and Teel A.R. A model predictive control based scheduling method for HIV therapy. Journal of Theoretical Biology 238 (2006) 368-382