This paper proposes a distributed model predictive control (DMPC) for a class of discrete-
time stochastic multi-agent systems subject to partially coupled temporal logic tasks. For …

We present a stochastic model predictive control (SMPC) framework for linear systems
subject to possibly unbounded disturbances. State-of-the-art SMPC approaches with closed …

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 …

For constrained linear parameter varying (LPV) systems, this survey comprehensively
reviews the literatures on output feedback robust model predictive control (OFRMPC) over …

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 …

We present an output feedback stochastic model predictive control (SMPC) approach for
linear systems subject to Gaussian disturbances and measurement noise and probabilistic …

In this paper, we propose a chance constrained stochastic model predictive control scheme
for reference tracking of distributed linear time-invariant systems with additive stochastic …

Stochastic model predictive control (MPC) is a fascinating field for research and of
increasing practical importance since optimal control techniques have been intensively …