Linear-quadratic mean-field-type difference games with coupled affine inequality constraints
Partha Sarathi Mohapatra, Puduru Viswanadha Reddy
TL;DR
Addresses discrete-time, finite-horizon linear-quadratic mean-field-type difference games with coupled affine inequality constraints. The authors prove that a mean-field-type generalized Nash equilibrium exists when a multiplier process $\{\mu_k^{i\star}\}$ satisfies implicit complementarity conditions, and they reformulate these conditions as a single large-scale linear complementarity problem (LCP) that can be solved numerically. The equilibrium strategies are given in a linear feedback form $u_k^{i\star}-\mathbb{E}[u_k^{i\star}]=\eta_k^i (x_k^{\star}-\mathbb{E}[x_k^{\star}])$, with $\mathbb{E}[u_k^{i\star}]=\delta_k^i \mathbb{E}[x_k^{\star}] + \bar{\delta}_k^i$, obtained via a five-step direct method and backward recursions for auxiliary coefficients. The method is demonstrated on a microgrid energy-storage problem, showing feasible control actions under coupled constraints and highlighting the practical computability of MFTDG equilibria; the framework extends naturally to matrix-valued dynamics and constraints.
Abstract
In this letter, we study a class of linear-quadratic mean-field-type difference games with coupled affine inequality constraints. We show that the mean-field-type equilibrium can be characterized by the existence of a multiplier process which satisfies some implicit complementarity conditions. Further, we show that the equilibrium strategies can be computed by reformulating these conditions as a single large-scale linear complementarity problem. We illustrate our results with an energy storage problem arising in the management of microgrids.
