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This work studies fault tolerant consensus control of multi-agent systems with switching topology. It is assumed that some agents in some intervals don’t receive information from their neighbors, but the overall communication topology remains jointly connected. Initially, additive input fault with one-side Lipchitz constraint is considered. Next intermittent failures in the transmission of data between...
Multiagent systems are one of the most promising solutions in most of real life applications in which some kinds of social interactions or conventions are involved. Agent oriented applications are broadly explored among which learning in unknown environment is well developed based on Markov Decision Process (MDP). On the other hand, learning in multiagent systems has been recently introduced, basically...
Recent developments in multiagent reinforcement learning, mostly concentrate on normal form games or restrictive hierarchical form games. In this paper, we use the well known Q-learning in extensive form games which agents have a fixed priority in action selection. We also introduce a new concept called associative Q-values which not only can be used in action selection, leading to a subgame perfect...
The problem of stability analysis of agent and agent-based systems is of great interest. This is even more important for large-scale agent-based systems (LSABS), where there are a high number of interacting agents. This paper proposes a new approach to tackle this problem. In the proposed approach, agent is assumed to be a hybrid entity with discrete modes and continuous evolution within each mode,...
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