6 citations · 8 across the 5 of their papers we have counts for
6 papers
Projected gradient-tracking in multi-cluster games and its application to power management
Jan Zimmermann, Tatiana Tatarenko, Volker Willert +1
We are concerned with a distributed approach to solve multi-cluster games arising in multi-agent systems. In such games, agents are separated into distinct clusters. The agents bel…
Gradient Play in -Cluster Games with Zero-Order Information
Tatiana Tatarenko, Jan Zimmermann, Jürgen Adamy
We study a distributed approach for seeking a Nash equilibrium in -cluster games with strictly monotone mappings. Each player within each cluster has access to the current value…
Gradient-Tracking over Directed Graphs for solving Leaderless Multi-Cluster Games
Jan Zimmermann, Tatiana Tatarenko, Volker Willert +1
We are concerned with finding Nash Equilibria in agent-based multi-cluster games, where agents are separated into distinct clusters. While the agents inside each cluster collaborat…
Revisiting Consensus-Based Energy-Management in Smart Grid with Transmission Losses and Directed Communication
Jan Zimmermann, Tatiana Tatarenko, Volker Willert +1
We discovered a deficiency in Algorithm 1 and Theorem 3 of [1]. The algorithm called CEMA aims to solve an energy management problem distributively. However, by means of a counter…
Projected Push-Sum Gradient Descent-Ascent for Convex Optimizationwith Application to Economic Dispatch Problems
Jan Zimmermann, Tatiana Tatarenko, Volker Willert +1
We propose a novel algorithm for solving convex, constrained and distributed optimization problems defined on multi-agent-networks, where each agent has exclusive access to a part…
Penalized Push-Sum Algorithm for Constrained Distributed Optimization with Application to Energy Management in Smart Grid
Tatiana Tatarenko, Jan Zimmermann, Volker Willert andJürgen Adamy
We study distributed convex constrained optimization on a time-varying multi-agent network. Each agent has access to its own local cost function, its local constraints, and its ins…