Simone Baldi

TL;DR: In this paper, a control algorithm for joint demand response management and thermal comfort optimization in micro-grids equipped with renewable energy sources and energy storage units is presented, where the objective is to minimize the aggregate energy cost and thermal discomfort of the microgrid.

TL;DR: This paper proposes a novel CACC strategy that overcomes the homogeneity assumption and that is able to adapt its action and achieve string stability even for uncertain heterogeneous platoons, and forms an extended average dwell-time framework and designs an adaptive switched control strategy.

TL;DR: In this paper, a simulation-based optimization approach for the design of an energy management system (EMS) with the capability of controlling the loads so as to optimize the aggregate performance of the microgrid is presented.

TL;DR: A novel ASMC methodology is proposed which does not require a priori bounded uncertainty, and a general class of Euler–Lagrange systems is taken as a case study to show the applicability of the proposed design.

TL;DR: The result is that the supervised switching mechanism can moderate the chance that destabilizing controllers be switched-on and reduce both the magnitude and time durations of ''learning'' transients after start-up, while stability in the large is guaranteed under the minimal conceivable assumption that a stabilizing candidate controller exist.