A game theoretical approach to optimal control of dual drug delivery for hiv infection treatment

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 40, Issue 3, 2010, Pages 694-702

  Wu, Jing ^a   Zhang, Mingjun ^a  

^a UNIVERSITY OF TENNESSEE   (United States)

Author keywords

Acquired immunodeficiency syndrome (AIDS); Game theory; Human immunodeficiency virus (HIV); Nash equilibrium (NE); Optimal control; Viral dynamics

Indexed keywords

ACQUIRED IMMUNODEFICIENCY SYNDROME; ACQUIRED IMMUNODEFICIENCY SYNDROME (AIDS); HUMAN IMMUNODEFICIENCY VIRUS; NASH EQUILIBRIUM; OPTIMAL CONTROL; OPTIMAL CONTROLS;

DRUG DELIVERY; DRUG DOSAGE; GAME THEORY; IMMUNOLOGY; OPTIMIZATION; VIRUSES;

DISEASES;

ANTI HUMAN IMMUNODEFICIENCY VIRUS AGENT;

ALGORITHM; ARTICLE; COMPUTER ASSISTED DRUG THERAPY; DECISION SUPPORT SYSTEM; DRUG COMBINATION; GAME; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; METHODOLOGY;

ALGORITHMS; ANTI-HIV AGENTS; DECISION SUPPORT SYSTEMS, CLINICAL; DECISION SUPPORT TECHNIQUES; DRUG COMBINATIONS; DRUG THERAPY, COMPUTER-ASSISTED; GAME THEORY; HIV INFECTIONS; HUMANS;

EID: 77952581353     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2010.2040616     Document Type: Article

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