Solving Impulsive Control Problems by Discrete-Time Dynamic Optimization Methods

Solving Impulsive Control Problems by Discrete-Time Dynamic Optimization Methods

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This work presents an open-loop discrete-time dynamic optimization scheme for continuous-variable impulsive control problems.This methodology can be more useful Wall Art Painting than the classical optimal control in several contexts, since it delivers control actions just in discrete times, which introduce discontinuities in the system state variables.Two case studies are presented: the biological control of pests incrops using a prey-predator model and Angle Grinder Nut the optimal vaccination in epidemics control using an SIR model.