Romain Bourdais

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This paper presents a distributed model predictive control algorithm based on Benders' decomposition for temperature regulation in buildings. It is well known that the main objective of this control problem is to minimize the heating (cooling) energy bills while maintaining a certain indoor thermal comfort. In order to reduce the energy costs, many(More)
This paper proposes a distributed predictive control strategy for building temperature regulation. The originality of the approach consists of using a dynamic prediction horizon MPC, allowing a more effective disturbances rejection. Then this idea is extended, for multizone temperature control in buildings, in a distributed manner, where each controller(More)
This paper presents a predictive control structure for thermal regulation in buildings. The proposed method considers a dynamic cost function trying to exploit the intermittently operating mode of almost all types of buildings. One of the key idea is to use the knowledge about the occupation profile. For that purpose, the predictive control strategy is(More)
This paper deals with the adaptation of a model predictive control to a blind system for building for preventing thermal discomfort, which occurs during summer. This system can be seen as a hybrid system by considering various blind positions. The MPC formulation leads to define a multi-objective optimization problem, for which the criteria are antagonist.(More)
In this work, a class of model predictive control problems with mixed real-valued and binary control signals is considered. The optimization problem to be solved is a constrained Mixed Integer Quadratic Programming (MIQP) problem. The main objective is to derive a distributed algorithm for limiting the search space in branch and bound approaches by(More)
We develop a multi-agent model predictive control method for a class of hybrid systems governed by discrete inputs and subject to global hard constraints. We assume that for each subsystem the local objective function is convex and the local constraint function is strictly increasing with respect to the local control variable. The proposed multi-agent(More)
This paper proposes a hybrid predictive control strategy composed of local predictive controllers which interact with each other. This control strategy is applied to a solar powered hot water storage (SHWS) system that supplies energy for a building cooling system. Two local controllers are proposed for the SHWS system and the building cooling system(More)
In general, integer programming problems are computationally very hard to solve, which makes solving an integer programming problem with a large number of decision variables in a centralized way intractable. In this paper, we propose a novel integer optimization method for strategic planning by integrating the resource allocation coordination method into a(More)
Model Predictive control is an advanced control technique that has been used to optimize thermal comfort in buildings. Nowadays, the new buildings are characterized by an important inertia as well as low power heating systems. Since the thermal losses are very low, taking into account the intermittent occupancies in the control strategy is questionable.(More)
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