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 …

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 …

This paper presents a framework to carry out multi-area stochastic reserve scheduling (RS)
based on an ac optimal power flow (OPF) model with high penetration of wind power using …

This paper presents an energy management framework for building climate comfort (BCC)
systems interconnected in a grid via aquifer thermal energy storage (ATES) systems in the …

Abstract Aquifer Thermal Energy Storage (ATES) is a building technology used to
seasonally store thermal energy in the subsurface, which can reduce the energy use of …

Vehicle platooning has gained significant attention due to its potential to enhance road
safety and efficiency. Leveraging stochastic optimization methods, this paper presents a …

In this paper, we propose a stochastic model predictive control (MPC) algorithm for linear
distributed discrete-time systems affected by unbounded additive Gaussian disturbances …

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 …

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 delves into the application of Stochastic Model Predictive Controls (SMPC) for
power grids driven by inverter-interfaced generators, focusing on enhancing grid stability …