Abstract: In this work, a novel event-triggered iterative learning model predictive control (ILMPC) framework is developed for a class of linear systems subject to input saturation and initial shift.

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...

Abstract: This paper investigates the issue of event-triggered distributed model predictive control for coupled nonlinear systems with additive disturbances. Specifically, this paper proposes two ...