Building Temperature Control Based on Replicator Dynamics

Abstract Temperature control in buildings is a dynamic resource allocation problem, which can be approached using nonlinear methods based on population dynamics (i.e., replicator dynamics). A mathematical model of the proposed control technique is shown, including a stability analysis using passivity concepts for an interconnection of a linear multivariable plant driven by a nonlinear control system. In order to illustrate our control strategy, some simulations are performed, and we compare our proposed technique with another control strategy (conventional PI) in a model with a fixed structure.

[1]  Nicanor Quijano,et al.  The Ideal Free Distribution: Theory and Engineering Application , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[2]  Hans Akkermans,et al.  Decentralized Markets versus Central Control: A Comparative Study , 1999, J. Artif. Intell. Res..

[3]  P. Taylor,et al.  Evolutionarily Stable Strategies and Game Dynamics , 1978 .

[4]  Brigitte Grondin-Perez,et al.  Thermal Building Simulation and Computer Generation of Nodal Models , 2012, ArXiv.

[5]  Rajnikant V. Patel,et al.  Robust decentralized control of HVAC systems using H∞-performance measures , 2004, J. Frankl. Inst..

[6]  Richard M. Murray Future Directions in Control, Dynamics, and Systems: Overview, Grand Challenges, and New Courses , 2003, Eur. J. Control.

[7]  Scott H. Clearwater,et al.  Saving energy using market-based control , 1996 .

[8]  N. Quijano,et al.  Modeling and analysis for a temperature system based on resource dynamics and the ideal free distribution , 2008, 2008 American Control Conference.

[9]  Yi Jiang,et al.  A new multizone model for the simulation of building thermal performance , 1997 .

[10]  S. Ari,et al.  Constrained fuzzy logic approximation for indoor comfort and energy optimization , 2005, NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society.

[11]  Henrik Schiøler,et al.  A distributed control algorithm for internal flow management in a multi-zone climate unit , 2008, Int. J. Control.

[12]  J. Willems Dissipative dynamical systems part I: General theory , 1972 .

[13]  A. L. Dexter,et al.  Neural control of non-linear HVAC plant , 1994, 1994 Proceedings of IEEE International Conference on Control and Applications.