Modeling and Control of Equipment Leasing System Based on Hybrid Automaton

Abstract

The large equipment leasing and management is mainly to control the device and use. The equipment leasing is a discrete control variable, but the disturbance input variable (equipment depreciation costs, maintenance costs, transportation costs, storage costs) is continuous. Therefore, the equipment rental system is a typical mixed system to equipment depreciation costs, maintenance costs, transportation costs, storage costs as a system can be measured disturbance input variables, system leasing system output variables, control equipment demand-driven variables, equipment rental system hybrid automata model, using measured data for simulation. The equipment rental system fit automaton model can reach more than 94%, the maximum prediction error hybrid system control of 2%, and it can better control dynamics equipment rental system.