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Feasible-cooperation distributed model predictive control scheme based on game theory, " Abstract: This work deals with the formulation of a distributed model predictive control scheme as a decision problem in which the decisions of each subsystem affect the decisions of the other subsystems and the performance of the whole system. This decision problem is(More)
In a Hierarchical Model Predictive Control (H-MPC) framework, this paper explores suitable time-variant structures for the hierarchies of different local MPC controllers. The idea is to adapt to different operational conditions by changing the importance of the local controllers. This is done by defining the level of the hierarchy they belong to, and(More)
The problems associated with vehicular traffic are becoming more noticeable in large cities and highways, mainly because it is becoming less feasible to build new roads or expand the existing ones. This issue is beginning to be treated as a control systems optimization problem, where the objective is to maximize the use of the existing infrastructure.(More)
In this paper a methodology that combines a classical PID control strategy and new simulation scenarios is proposed for controlling intersections in the city of Medellín. There are several advantages of PID controllers. The simple computation of the PID control is a remarkable advantage in real time applications, which motivates its application in(More)
A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark. A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark 6 Abstract Recently, there has been a renewed interest in the development of distributed model predictive control (MPC) techniques capable of inheriting the properties(More)
  • J. Espinosa, B. De Schutterc, F. Valenciad, J. Espinosad
  • 2012
A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark, " Abstract Recently, there has been a renewed interest in the development of distributed model predictive control (MPC) techniques capable of inheriting the properties of centralized predictive controllers, such as constraint satisfaction, optimal control,(More)