TY - GEN
T1 - On the distributed mean-variance paradigm
AU - Siwe, Alain Tcheukam
AU - Tembine, Hamidou
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/5/18
Y1 - 2016/5/18
N2 - In this paper we study the distributed mean-variance paradigm with linear state dynamics of mean-field type in discrete time and several control inputs. The goal is to reduce the variance and the mean of the state in a fully distributed manner. We formulate and explicit solve the problem using recent development of mean-field-type games. We show that there is unique best response strategy to the mean of the state and provide a simple sufficient condition of existence and uniqueness of mean-field equilibrium. We also provide a closed-form expression of the global optimum as a state-and-mean-field feedback strategy.
AB - In this paper we study the distributed mean-variance paradigm with linear state dynamics of mean-field type in discrete time and several control inputs. The goal is to reduce the variance and the mean of the state in a fully distributed manner. We formulate and explicit solve the problem using recent development of mean-field-type games. We show that there is unique best response strategy to the mean of the state and provide a simple sufficient condition of existence and uniqueness of mean-field equilibrium. We also provide a closed-form expression of the global optimum as a state-and-mean-field feedback strategy.
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U2 - 10.1109/SSD.2016.7473660
DO - 10.1109/SSD.2016.7473660
M3 - Conference contribution
AN - SCOPUS:84974555790
T3 - 13th International Multi-Conference on Systems, Signals and Devices, SSD 2016
SP - 607
EP - 612
BT - 13th International Multi-Conference on Systems, Signals and Devices, SSD 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Multi-Conference on Systems, Signals and Devices, SSD 2016
Y2 - 21 March 2016 through 24 March 2016
ER -