Crow Search Algorithm Based An Optimal Control for Switched Nonlinear Systems

This paper considers the optimal control of switched nonlinear systems. Ended, a novel metaheuristic optimizer, named crow search algorithm (CSA) is proposed. This algorithm allows to obtain the optimal switching instants that minimize a performance index over a finite time horizon. Finally, a switched nonlinear system that models a hydraulic system is given to illustrate the effectiveness of the proposed metaheuristic algorithm compared with d to the other algorithms.