Identification Methods for Ordinal Potential Differential Games

TL;DR

This paper develops two LMI-based methods to systematically identify potential functions in linear quadratic ordinal potential differential games, enhancing the analysis and design of cooperative control systems.

Contribution

It introduces two novel identification methods for LQ OPDGs using LMIs, addressing a gap in systematic identification techniques for these games.

Findings

First method is faster and more precise than previous solutions.

Second method can identify games when the first method fails.

Methods are validated through simulations demonstrating effectiveness.

Abstract

This paper introduces two new identification methods for linear quadratic (LQ) ordinal potential differential games (OPDGs). Potential games are notable for their benefits, such as the computability and guaranteed existence of Nash Equilibria. While previous research has analyzed ordinal potential static games, their applicability to various engineering applications remains limited. Despite the earlier introduction of OPDGs, a systematic method for identifying a potential game for a given LQ differential game has not yet been developed. To address this gap, we propose two identification methods to provide the quadratic potential cost function for a given LQ differential game. Both methods are based on linear matrix inequalities (LMIs). The first method aims to minimize the condition number of the potential cost function's parameters, offering a faster and more precise technique compared to earlier solutions. In addition, we present an evaluation of the feasibility of the structural requirements of the system. The second method, with a less rigid formulation, can identify LQ OPDGs in cases where the first method fails. These novel identification methods are verified through simulations, demonstrating their advantages and potential in designing and analyzing cooperative control systems.