In this paper we present a convex formulation of the Model Predictive Control (MPC) optimisation for energy management in hybrid electric vehicles, and an Alternating Direction Method of Multipliers (ADMM) algorithm for its solution. We develop a new proof of convexity for the problem that allows the nonlinear dynamics to be modelled as a linear system, then demonstrate the performance of ADMM in comparison with Dynamic Programming (DP) through simulation. The results demonstrate up to two orders of magnitude improvement in solution time for comparable accuracy against DP
This paper presents a decentralized Model Predictive Control (MPC) for Plug-in Electric Vehicles (PE...
We present a novel predictive control scheme for linear constrained systems that uses the alternatin...
One of the major limitations of optimization-based strategies for allocating the power flow in hybri...
In this paper we present a convex formulation of the Model Predictive Control (MPC) optimisation for...
This article details an investigation into the computational performance of algorithms used for solv...
In this paper we propose an Alternating Direction Method of Multipliers (ADMM) algorithm for solving...
This paper studies energy management (EM) of a power-split hybrid electric vehicle (HEV) equipped wi...
In this letter we demonstrate a novel alternating direction method of multipliers (ADMM) algorithm f...
International audienceIn large-scale control optimization problems, a decentralized control structur...
We propose a hierarchical Model Predictive Control (MPC) strategy for energy management in plugin hy...
We present a Model Predictive Control (MPC) algorithm for energy management in aircraft with hybrid ...
We present a Model Predictive Control (MPC) algorithm for energy management in aircraft with hybrid ...
Plug-in hybrid electric vehicles (PHEVs) can be considered as a hybrid system (HS) which includes th...
AbstractIn this paper, the model predictive control (MPC) method is researched for energy management...
We present a new algorithm for model predictive control of non-linear systems with respect to multip...
This paper presents a decentralized Model Predictive Control (MPC) for Plug-in Electric Vehicles (PE...
We present a novel predictive control scheme for linear constrained systems that uses the alternatin...
One of the major limitations of optimization-based strategies for allocating the power flow in hybri...
In this paper we present a convex formulation of the Model Predictive Control (MPC) optimisation for...
This article details an investigation into the computational performance of algorithms used for solv...
In this paper we propose an Alternating Direction Method of Multipliers (ADMM) algorithm for solving...
This paper studies energy management (EM) of a power-split hybrid electric vehicle (HEV) equipped wi...
In this letter we demonstrate a novel alternating direction method of multipliers (ADMM) algorithm f...
International audienceIn large-scale control optimization problems, a decentralized control structur...
We propose a hierarchical Model Predictive Control (MPC) strategy for energy management in plugin hy...
We present a Model Predictive Control (MPC) algorithm for energy management in aircraft with hybrid ...
We present a Model Predictive Control (MPC) algorithm for energy management in aircraft with hybrid ...
Plug-in hybrid electric vehicles (PHEVs) can be considered as a hybrid system (HS) which includes th...
AbstractIn this paper, the model predictive control (MPC) method is researched for energy management...
We present a new algorithm for model predictive control of non-linear systems with respect to multip...
This paper presents a decentralized Model Predictive Control (MPC) for Plug-in Electric Vehicles (PE...
We present a novel predictive control scheme for linear constrained systems that uses the alternatin...
One of the major limitations of optimization-based strategies for allocating the power flow in hybri...