Title :
Sensitivity Analysis of Uncertainties in Dynamic Noncooperative Games Using a Multi-Modeling Method
Author :
Tan, Xiaohuan ; Cruz, Jose B., Jr.
Author_Institution :
Department of Electrical and Computer Engineering. The Ohio State University, Columbus, OH 43210, USA (email: tan.124@osu.edu).
Abstract :
In this paper, we formulate a two-person nonzero-sum game with unknown parameters by multiple models and carry out a sensitivity analysis of performance indices with respect to the unknowns. We show that from each player’s point of view, the deviation from the indices is bounded from below and above if he/she adopts his/her estimates of the uncertain parameters while assuming the competitors use unknown values of the parameters. Motivated by the model for strategic bidding in a competitive electricity market, performance indices with linear and cross terms in control have been constructed and a simple numerical example is given for illustration purpose.
Keywords :
Costs; Decision making; Delta modulation; Electricity supply industry; Game theory; Performance analysis; Power supplies; Production; Sensitivity analysis; Uncertainty;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1582973