Abstract
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.
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I. Alvarado, D. Limón, W.M. Garca, T. Álamo, E.F. Camacho, An educational plant based on the quadruple-tank process, in Preprints of the 7th IFAC Symposium on Advances in Control Education, Madrid, Spain, June 2006
I. Alvarado, D. Limón, D. Muñoz de la Peña, J.M. Maestre, F. Valencia, H. Scheu, R.R. Negenborn, M.A. Ridao, B. De Schutter, J. Espinosa, W. Marquardt, A comparative analysis of distributed MPC techniques applied to the HD-MPC four tank benchmark. J. Process Control 21(5), 800–815 (June 2011)
E.F. Camacho, C. Bordóns, Model Predictive Control in the Process Industry, 2nd edn. (Springer, London, England, 2004)
K.H. Johansson, The quadruple-tank process: a multivariable laboratory process with an adjustable zero. IEEE Trans. Control Syst. Technol. 8(3), 456–465 (May 2000)
J.M. Maestre, Distributed Model Predictive Control Based on Game Theory, PhD thesis, Departamento de Ingeniería de Sistemas y Automática, Universidad de Sevilla, Seville, Spain, Nov 2010
J.M. Maestre, D. Muñoz de la Peña, E.F. Camacho, Distributed MPC: a supply chain case study, in Proceedings of the joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, Dec 2009
J.M. Maestre, D. Muñoz de la Peña, E.F. Camacho, Distributed model predictive control based on a cooperative game. Optimal Control Appl. Methods 32(2), 153–176, Mar/Apr 2011
J.M. Maestre, D. Muñoz de la Peña, E.F. Camacho, A distributed MPC scheme with low communication requirements, in Proceedings of the American Control Conference, pp. 2797–2802, June 2009
J.M. Maestre, D. Muñoz de la Peña, E.F. Camacho, T. Álamo, Distributed model predictive control based on agent negotiation. J. Process Control 21(5), 685–697 (June 2011)
F.J. Muros, J.M. Maestre, E.F. Camacho, Estudio de robustez frente a retardos y pérdida de datos de una estrategia dmpc basada en pocos ciclos de comunicación (In Actas de las XXIX Jornadas de Automática, Tarragona, Spain, Sept, 2008)
S. Rakovic, E. De Santis, P. Caravani, Invariant equilibria of polytopic games via optimized robust control invariance, in Proceedings of the 44th IEEE Conference on Decision and Control and the European Control Conference, pp. 7686–7691, Seville, Spain, Dec 2005
S. Rakovic, E. Kerrigan, K. Kouramas, D. Mayne, Robust MPC for nonlinear discrete-time systems. IEEE Trans. Automat. Control 50, 406–410 (2005)
Acknowledgments
Financial support from the HYCON2 EU-project from the ICT-FP7 and MEC-Spain, DPI2008-05818, and F.P.I. grants is gratefully acknowledged.
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Maestre, J.M., Muros, F.J., Fele, F., Peña, D.M.d., Camacho, E.F. (2014). Distributed MPC Based on a Team Game. In: Maestre, J., Negenborn, R. (eds) Distributed Model Predictive Control Made Easy. Intelligent Systems, Control and Automation: Science and Engineering, vol 69. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7006-5_25
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DOI: https://doi.org/10.1007/978-94-007-7006-5_25
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