An Application of Nash Game to Distributed Multi-Rate Predictive Control

Samira Roshany-Yamchi, Avi A. Cornelio, Kieran Delaney, and Joseph Connell


Distributed predictive control, multi-rate estimation, Kalman filter, Nash game theory


In this paper we propose to study the underlying properties of our formerly proposed distributed multi-rate predictive control scheme in which a set of multi-rate constrained agents communicate to accomplish their goals. The problems of how to decide the multi-rate communication strategy, share the inputs, estimated states and observers gains are solved using tools from game theory. The proposed scheme is demonstrated through a simulation example.

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