Real-world networks often consist of millions of heterogenous elements that interact at
multiple timescales and length scales. The fields of statistical physics and control theory both …

This survey article addresses the class of continuous-time systems where a system modeled
by ordinary differential equations is coupled with a static or time-varying set-valued operator …

Nash equilibrium, as an essential strategic profile in game theory, is of both practical
relevance and theoretical significance due to its wide penetration into various fields, such as …

In this paper, we propose a distributed algorithm for computation of a generalized Nash
equilibrium (GNE) in noncooperative games over networks. We consider games in which the …

We consider distributed computation of generalized Nash equilibrium (GNE) over networks,
in games with shared coupling constraints. Existing methods require that each player has …

With the proliferation of distributed generators and energy storage systems, traditional
passive consumers in power systems have been gradually evolving into the so-called …

In this paper, we consider game problems played by (multi)-integrator agents, subject to
external disturbances. We propose Nash equilibrium seeking dynamics based on gradient …

We consider strongly monotone games with convex separable coupling constraints, played
by dynamical agents, in a partial-decision information scenario. We start by designing …

Continuous-time gradient-based Nash equilibrium seeking algorithms enjoy a passivity
property under a suitable monotonicity assumption, which has been exploited to design …

Multiagent decision making over networks has recently attracted an exponentially growing
number of researchers from the systems and control community. The area has gained …