Piecewise linear modeling for nonlinear control with optimized settling time.

摘要

Nonlinear switching of control system damping ratio has been theoretically proven to yield a better response time in second order systems than linear control methods [1]. A better response time in a control system increases efficiency and performance of the system. This project uses simulations to demonstrate how nonlinear systems with piecewise linear approximations result in a better time response than a linear control system. The project also examines nonlinear control system practical implementation to nonlinear control systems and a universal global minimum of the settling time using neural networks.