Inspired by recent work on data-driven control, this work presents data-driven event-triggered control strategies for discrete-time linear time-invariant (LTI) systems. The results presented do not require explicit …
This paper presents a data-driven state feedback control law, based on a linear quadratic regulator (LQR) design, for systems with exogenous inputs. In general, this framework is referred to as a data-driven min-max …
The aim of the project is to develop an intelligent system for maneuver of on-road autonomous vehicles. We propose a hybrid intelligent framework using tools from statistical learning theory and predictive control …
