By: |
Yasuaki Wasa (Department of Electrical Engineering and Bioscience, Waseda University, Tokyo 169-8555, Japan.);
Ken-Ichi Akao (Graduate School of Social Sciences, Waseda University, Tokyo 169-8050, Japan.);
Kenko Uchida (Research Institute for Science and Engineering, Waseda University, Tokyo 169-8555, Japan.) |
Abstract: |
This paper investigates an optimal dynamic incentive contract between a
risk-averse principal (system operator) and multiple risk-averse agents
(subsystems) with independently local controllers in continuous-time
controlled Markov processes, which can represent various cyber-physical
systems. The principal fs incentive design and the agents f decision-makings
under asymmetric information structure are known as the principal-agent (PA)
problems in economic field. However, the standard framework in economics
cannot be directly applied to the realistic control systems including
large-scale cyber-physical systems and complex networked systems due to some
unrealistic assumptions for an engineering perspective. In this paper, using a
constructive approach based on the techniques of the classical stochastic
control theory, we propose and solve a novel dynamic control/incentive
synthesis for the PA problem under moral hazard. |
Keywords: |
Principal-agent problems, Moral hazard, Cyber-physical systems, Multi-agent systems, Dynamic programming, Risk-sensitive stochastic control, Differential games |
JEL: |
C61 C73 D82 |
Date: |
2020–02 |
URL: |
http://d.repec.org/n?u=RePEc:was:dpaper:2001&r=all |