Genetic-Fuzzy Control of a HIV Immunology Model
نویسندگان
چکیده
This paper describes a genetic-fuzzy approach for controlling a nonlinear model of the HIV immunology. The approach is set up to find mamdani fuzzy controllers capable of boosting the immune response while reducing the systemic cost to the body due to the use of high efficacy drugs. General aspects of the genetic fuzzy system are described while special emphasis is given to control results. The best controller found from several evolutionary runs is analyzed in terms of control performance and it is compared with a traditional medical procedure. Simulation results show that the fuzzy control approach provides a better long-term treatment.
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