Dushmanta Kumar Das

Abstract The growing demand for rapid, same-day deliveries has made the optimization of last-mile Hyper-local Networks (HLN) increasingly critical. These networks face challenges such as limited storage capacity and highly variable customer demand, which complicates delivery planning and resource allocation. This study aims to address the HLN design problem under uncertain and fluctuating demand conditions, to enhance delivery efficiency and system robustness.

Artificial ventilators are vital respiratory support systems in the field of medical care, especially for patients in critical condition. It is crucial to make sure the ventilator keeps the intended airway pressure because variations might be harmful to the brain and lungs. Thus, achieving accurate pressure tracking is a primary objective in designing optimal controllers for pressure-controlled ventilators (PCVs).