Multiple-strategy interaction for industry functional modeling. Technical progress report
The three-year project is organized in four tasks. The first task, Noncausality in Multiple Decision-Making maintains the theme of the project by relating specific issues in the other three tasks to the central question of noncausality in models of complex systems, particularly in those systems involving multiple decision makers. The second task, Team-Optimal Leader-Follower Strategies with Dynamic Feedback, was performed and completed during the first year of the program. Sufficient conditions for Leader-Follower strategies to be team-optimal for the leader were derived for continuous-time dynamic systems when the feedback strategy is a function of the state, and when the control law is represented by a finite dimensional dynamic system. The third task, Well-Posedness and Control-Dependent Reduced Order Models, has been under investigation for part of the first year and the entire second year. The third task has three objectives. Firstly, we seek to develop appropriate reduced order singularly perturbed models when different decision-makers have different perceptions and different goals. Secondly, we seek to exploit chained aggregation methods to simplify decentralized control design. Thirdly, we seek to establish the well-posedness of various reduced order noncausal models, obtained by singular perturbations, under the Nash, Leader-Follower, and Pareto-optimal strategy concepts. Task 4, Validation of Policy Models Using a Leader-Follower Framework will be activated in the third c
- Research Organization:
- Dynamic Systems, Urbana, IL (USA)
- DOE Contract Number:
- AC01-80RA50255
- OSTI ID:
- 5630225
- Report Number(s):
- DOE/RA/50255-T2; ON: DE84000485
- Country of Publication:
- United States
- Language:
- English
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