Consensus equilibriumExtracting accurate foreground objects from a scene is an essential step for many video applications. Traditional background subtraction algorithms can generate coarse estimates, but generating high quality masks requires professional softwares with significant human interventions, e.g., ...
multi-agent cooperative planningsingle agent QLThis chapter proposes consensus‐based multi゛gent Q﹍earning (MAQL) to address the bottleneck of the optimal equilibrium selection among multiple types. It briefly introduces the adaption mechanism of single agent QL and the state﹐f‐the゛rt equilibrium...
This paper addresses the problem of bipartite consensus for discrete-time multi-agent systems with Markovian-jumping parameters under the influence of time-varying communication delay and actuator saturation. The main aim of this work is to propose an observer-based control protocol such that the bipa...
ofconsensusequilibriuminfluencedbytheinitiaIstatesofagents. time—delaysandstatefeedbackintensityjsfiguredout.Inaddition themulti—agentconsensusjsconsideredwithtime—varyingtopolo— gies.Finally,simulationsarepresentedtoiIlustratethevalidityof theoreticaIresults. ...
Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany; bDepartment of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK (Received 9 July 2007; final version received 8 August 2008) An important task for multi-agent systems (MAS) is to reach a consensus, e....
consensusmulti-agent systemThis note is devoted a theoretic framework to explore the rural-urban migration phenomena by the means of multi-agent system dynamics based on the ideas of consensus analysis which builds a computational approach. Consensus is somewhat analogous to equilibrium and it is the...
This study uses event-triggered (ET) and reinforcement learning methods to investigate the optimal consensus control problem for cooperative-competitive multiagent systems. It proposes a novel distributed ET control strategy, which relies on a prioritized experience replay (PER) policy. This strategy not...
Reaching a consensus in a multi-agent system means that the agents’ states converge to a common value. After the pioneering works by Vicsek, Czirk, Ben-Jacob, Cohen, and Shochet (1995) and Jadbabaie, Lin, and Morse (2003), a thorough theoretical framework about consensus has been given ...
The studies cited above mainly deal with multi-agent networks that reach a single equilibrium state, known also as classical consensus. However, as the networks get more complex with many interconnected components, the number of agreement values may differ according to the tasks, working space or ...
Evolution of agents' dynamics of multiagent systems under consensus protocol in the face of jamming attacks is discussed, where centralized parties are able to influence the control signals of the agents. In this paper we focus on a game-theoretical approach of multiagent systems where the ...