In this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. The error dynamics of each player depends on its neighbors’ information. Detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. The introduced reinforcement learning-based algorithms learn online the approximate solution...

This paper is concerned with the consensus tracking problem of high order MIMO nonlinear multi-agent systems. The agents must follow a leader node in presence of unknown dynamics and uncertain external disturbances. The communication network topology of agents is assumed to be a fixed undirected graph. A distributed adaptive control method is proposed to solve the consensus problem utilizing re...

Conflict in multi-agent systems is ubiquitous. Research often focuses on the process of resolving conflicts between different agents. We call this the inter-agent conflict resolution process. However, in complex problem solving agents the process of resolving conflicts with other agents impacts local problem solving as well as deals made with other agents. This leads to the need for an intra-ag...

Negotiation is a kind of decision making where two or more parties jointly search a space of solutions with the goal of reaching a consensus. This search usually is a single dimension process where the different agents, involved in the negotiation process, mutually adapt their price offers in order to reach their goals (to sell or to buy a good). However, this process is inflexible and often un...

Over the last few years multi-agent systems have proved to be one of the most productive areas for Artificial Intelligence researchers. There are still several subjects that are under research, i.e security, agent programming languages and core enhancements for efficient and scalable systems. Although some advancements have been made in this area, most multi-agent systems still remain under the...