Advanced model predictive control framework for autonomous intelligent mechatronic systems: A tutorial overview and perspectives
This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …
Tracking-ADMM for distributed constraint-coupled optimization
We consider constraint-coupled optimization problems in which agents of a network aim to
cooperatively minimize the sum of local objective functions subject to individual constraints …
cooperatively minimize the sum of local objective functions subject to individual constraints …
[HTML][HTML] Ensuring secure platooning of constrained intelligent and connected vehicles against Byzantine attacks: A distributed MPC framework
This study investigates resilient platoon control for constrained intelligent and connected
vehicles (ICVs) against F-local Byzantine attacks. We introduce a resilient distributed model …
vehicles (ICVs) against F-local Byzantine attacks. We introduce a resilient distributed model …
Resilient and constrained consensus against adversarial attacks: A distributed MPC framework
This paper proposes a distributed resilient consensus framework consisting of a distributed
model predictive control (DMPC)-based consensus protocol and a new distributed attack …
model predictive control (DMPC)-based consensus protocol and a new distributed attack …
Distributed event-triggered gradient method for constrained convex minimization
The event-triggered scheduling of network transmissions has found many applications in
engineering tasks operated in cyber-physical systems for its competitive advantage of …
engineering tasks operated in cyber-physical systems for its competitive advantage of …
Robust longitudinal distributed model predictive control of connected and automated vehicles with coupled safety constraints
This paper deals with robust cooperative control of connected and automated vehicles
(CAVs) with special consideration of the coupled safety inter-vehicle distance constraints. To …
(CAVs) with special consideration of the coupled safety inter-vehicle distance constraints. To …
Event-triggered distributed MPC with variable prediction horizon
A Ma, K Liu, Q Zhang, T Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article presents an event-triggered distributed model predictive control with variable
prediction horizon strategy for spatially interconnected systems with input and state …
prediction horizon strategy for spatially interconnected systems with input and state …
Distributed model predictive control for linear systems under communication noise: Algorithm, theory and implementation
H Li, B Jin, W Yan - Automatica, 2021 - Elsevier
We study the distributed model predictive control (DMPC) problem for a network of linear
discrete-time subsystems in the presence of stochastic noise among communication …
discrete-time subsystems in the presence of stochastic noise among communication …
Distributed model predictive control using optimality condition decomposition and community detection
This work regards the development of a distributed model predictive control strategy for
large-scale systems, as centralized implementations often suffer from non-scalability. The …
large-scale systems, as centralized implementations often suffer from non-scalability. The …
Distributed model predictive control and optimization for linear systems with global constraints and time-varying communication
In the article, we study the distributed model predictive control (DMPC) problem for a
network of linear discrete-time systems, where the system dynamics are decoupled, the …
network of linear discrete-time systems, where the system dynamics are decoupled, the …