In the era of Industrial 4.0, the next-generation control system regards the cyber-physical
system (CPS) as the core ingredient thanks to the comprehensive integration of physical …

To successfully implement the platoon control of connected and automated vehicles (CAVs),
the model uncertainties, external disturbances, and time delays must be addressed. In this …

This article proposes a distributed stochastic model predictive control (DSMPC) algorithm for
vehicle platoons in which every vehicle is subject to modeling uncertainties. When the …

In this paper we discuss distributional robustness in the context of stochastic model
predictive control (SMPC) for linear time-invariant systems. We derive a simple …

In this article, we propose a chance-constrained cooperative distributed model predictive
control scheme for reference tracking. We consider dynamically coupled linear time …

Distributed model predictive control methods for uncertain systems often suffer from
considerable conservatism and can tolerate only small uncertainties due to the use of robust …

In this paper, we present a novel stochastic output-feedback MPC scheme for distributed
systems with additive process and measurement noise. The chance constraints are treated …

This letter presents an algorithm based on the alternating direction method of multipliers
(ADMM) for the distributed solution of optimal control problems of stochastic multi-agent …

This paper presents a stochastic model predictive control (SMPC) algorithm for linear
systems subject to additive Gaussian mixture disturbances, with the goal of satisfying …

This paper presents a Distributed Stochastic Model Predictive Control algorithm for networks
of linear systems with multiplicative uncertainties and local chance constraints on the states …