Application of multi-objective optimization criteria in inverse optimal control of nonlinear systems

Abstract

This thesis is based on applying multiobjective optimization algorithms on inverse optimal control with the aim to obtain a controller that would satisfy the requirements of the application set by the controller designer, and present a deeper look at how choosing parameters of inverse optimal control would affect the overall behavior of the system.