Autonomous vehicles (AVs) are the next-generation driver-less vehicular entities with
advanced technologies. Overtaking is an important and challenging maneuver that needs to …

This paper proposes a framework for reliable microgrid energy management based on
receding horizon control. A microgrid is considered for exemplification, connected to an …

This paper presents an extension of a MPC (Model Predictive Control) approach for
microgrid energy management which takes into account electricity costs, power …

Safety in the operations of UAVs (Unmanned Aerial Vehicles) depends on the current and
future reduction of technical barriers and on the improvements related to their autonomous …

This paper addresses the autonomous overtaking problem using model predictive control.
Accordingly, a mixed integer programming approach is put forward in which the surrounding …

Hybrid zonotopes have been recently introduced as a mixed-integer set representation that
is equivalent to the union of up to constrained zonotopes through the use of N binary factors …

A framework is presented for constructing strong mixed-integer programming formulations
for logical disjunctive constraints. This approach is a generalization of the logarithmically …

Set-based methods have been leveraged in many engineering applications from robust
control and global optimization, to probabilistic planning and estimation. While useful, these …

This work presents a Nonlinear Model Predictive Control strategy for a quadrotor UAV with
obstacle avoidance capability in a 3D unknown environment with static obstacles. The …

Fault-tolerant control theory is a well-studied topic but the use of the sets in detection,
isolation and/or reconfiguration is rather tangential. The authors of this book propose a …