Optimal Therapeutic Control Modeling for Immune System Response

demonstrates the stochastic optimal control model to enhance immune system response. Immune system response can be amplified by agents that kill the pathogen, which stimulates the production of antibodies and implies the enhancement in the health of the organ. Imperfect measurements of the dynamic state degrade the precision of feedback adjustments to therapy; however, optimal state estimation allows the feedback strategy to be implemented with incomplete measurements and minimizes the expected effects of measurement error. The stochastic approach with genetic computing is evaluated to minimize the mutiobjective treatment cost function.