Stability and Stabilization of Positive Switched Systems with Application to HIV Treatment

HIV mutates rapidly and may develop resistance to specific drug therapies. There is no general agreement on how to optimally schedule the treatments for mitigating the effects of mutations. We examine control strategies applied to two positive switched systems models of HIV under therapy. Simulation results show that model-based control approaches may outperform the common clinical treatment recommendations