This paper proposes a novel hierarchical coalitional MPC technique, where transitions to the best communication topology are considered over the prediction horizon. For this reason, a new variable, called transition horizon, is added to the optimization problem to compute the optimal instant to introduce a new topology. Consequently, local controllers can anticipate topology transitions and adapt their trajectories whilst optimizing their local interests. Furthermore, stability guarantees in the closed-loop control of each coalition are provided. The benefits of this control method are shown via a simulated non-linear eight-coupled tanks plant. Copyright (C) 2020 The Authors
This work aims at developing and testing a novel Coalitional Distributed Model Predictive Control (C...
This paper discusses the application of coalitional model predictive control (MPC) to freeways traff...
In this paper a coalitional control and observation scheme is presented in which the coalitions are ...
This paper proposes a novel hierarchical coalitional MPC technique, where transitions to the best co...
This article presents a novel clustering model predictive control technique where transitions to the...
This paper presents a distributed setting of model predictive control (MPC) to manage linear multi-a...
This article presents a distributed implementation of a model predictive controller with information...
This paper is concerned with the problem of controlling a system of constrained dynamic subsystems i...
In a Hierarchical Model Predictive Control (H-MPC) framework, this paper explores suitable time-vari...
This paper proposes a coalitional model predictive control algorithm with feasibility guarantees for...
Decentralized and distributed model predictive control (DMPC) addresses the problem of controlling a...
This is an open access article distributed under the Creative Commons Attribution License.The Non-Ce...
An aspect so far rarely contemplated in distributed control problems is the explicit consideration o...
This paper proposes a robust coalitional distributed model predictive control algorithm suitable for...
Coalitional control is concerned with the management of multi-agent systems where cooperation cannot...
This work aims at developing and testing a novel Coalitional Distributed Model Predictive Control (C...
This paper discusses the application of coalitional model predictive control (MPC) to freeways traff...
In this paper a coalitional control and observation scheme is presented in which the coalitions are ...
This paper proposes a novel hierarchical coalitional MPC technique, where transitions to the best co...
This article presents a novel clustering model predictive control technique where transitions to the...
This paper presents a distributed setting of model predictive control (MPC) to manage linear multi-a...
This article presents a distributed implementation of a model predictive controller with information...
This paper is concerned with the problem of controlling a system of constrained dynamic subsystems i...
In a Hierarchical Model Predictive Control (H-MPC) framework, this paper explores suitable time-vari...
This paper proposes a coalitional model predictive control algorithm with feasibility guarantees for...
Decentralized and distributed model predictive control (DMPC) addresses the problem of controlling a...
This is an open access article distributed under the Creative Commons Attribution License.The Non-Ce...
An aspect so far rarely contemplated in distributed control problems is the explicit consideration o...
This paper proposes a robust coalitional distributed model predictive control algorithm suitable for...
Coalitional control is concerned with the management of multi-agent systems where cooperation cannot...
This work aims at developing and testing a novel Coalitional Distributed Model Predictive Control (C...
This paper discusses the application of coalitional model predictive control (MPC) to freeways traff...
In this paper a coalitional control and observation scheme is presented in which the coalitions are ...