This work aims at developing and testing a novel Coalitional Distributed Model Predictive
Control (C-DMPC) strategy suitable for vehicle platooning applications. The stability of the …

A tube-based robust Model Predictive Control (MPC) formulation with adjustable uncertainty
sets is presented where the size of the uncertainty set is optimized as part of the underlying …

A tube-based robust Model Predictive Control (MPC) formulation is presented for systems
with slow and fast timescale dynamics. The controller uses a reduced-order model that …

In this study, a control theoretic description of resilience is provided to quantify the
characteristics of a resilient system. The aim is to establish a paradigm for resilient control …

We consider the notion of resilience for cyber-physical systems, that is, the ability of the
system to withstand adverse events while maintaining acceptable functionality. We use finite …

We consider the notion of resilience for cyber-physical systems, that is, the ability of the
system to withstand adverse events while maintaining acceptable functionality. We use …

This paper considers a constrained discrete-time linear system subject to actuation attacks.
The attacks are modelled as false data injections to the system, such that the total input …

This dissertation presents new methods to synthesize disturbance sets and input constraints
set for constrained linear time-invariant systems. Broadly, we formulate and solve …

We present a set-theoretical characterization of a bound on the maximal portion that an
agent can cede of its input variable to another agent. By ceding control authority, agents can …

This dissertation develops model-based control formulations for complex multi-timescale
systems with the primary goal of improving computational efficiency and scalability while …