Distributed MPC Based on a Team Game

In this chapter we present a distributed scheme based on a team game for the particular case in which the system is controlled by two agents. The main features of the proposed scheme are the limited amount of global information that the agents share and the low communication burden that it requires. For this reason, this scheme is a good candidate to be implemented in systems with reduced capabilities, for example in wireless sensor and actuator networks.

[1]  Karl Henrik Johansson,et al.  The quadruple-tank process: a multivariable laboratory process with an adjustable zero , 2000, IEEE Trans. Control. Syst. Technol..

[2]  P. Caravani,et al.  Invariant Equilibria of Polytopic Games via Optimized Robust Control Invariance , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[3]  Jairo Espinosa,et al.  A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark , 2011 .

[4]  Eduardo F. Camacho,et al.  Distributed model predictive control based on agent negotiation , 2011 .

[5]  Eduardo F. Camacho,et al.  Model predictive control in the process industry , 1995 .

[6]  Eduardo F. Camacho,et al.  Distributed MPC: a supply chain case study , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[7]  Eduardo F. Camacho,et al.  A distributed MPC scheme with low communication requirements , 2009, 2009 American Control Conference.

[8]  Eduardo F. Camacho,et al.  An educational plant based on the quadruple tank process , 2006 .

[9]  Eduardo F. Camacho,et al.  Distributed model predictive control based on a cooperative game , 2011 .

[10]  David Q. Mayne,et al.  Invariant approximations of the minimal robust positively Invariant set , 2005, IEEE Transactions on Automatic Control.

[11]  E. F. Camacho,et al.  Estudio de Robustez frente a Retardos y Pérdida de Datos de una Estrategia DMPC Basada en Pocos Ciclos de Comunicación , 2008 .