Mean‐square output consensus of heterogeneous multi‐agent systems with communication noises
This paper focuses on the mean‐square output consensus of heterogeneous multi‐agent systems, in which the communication noises are taken into consideration.
Wei Chen +3 more
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Design of Heterogeneous Multi-agent System for Distributed Computation [PDF]
A group behavior of a heterogeneous multi-agent system is studied which obeys an "average of individual vector fields" under strong couplings among the agents. Under stability of the averaged dynamics (not asking stability of individual agents), the behavior of heterogeneous multi-agent system can be estimated by the solution to the averaged dynamics ...
Jin Gyu Lee, Hyungbo Shim
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Event-Triggered Optimal Consensus of Heterogeneous Nonlinear Multi-Agent Systems
This paper deals with optimal consensus problems of a general heterogeneous nonlinear multi-agent system. A novel filter is proposed for each agent by integrating local gradients with neighboring output information.
Yunfeng Ji +3 more
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Cluster partitioning of heterogeneous multi-agent systems
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Mattioni M., Monaco S.
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Adaptive Reward Method for End-to-End Cooperation Based on Multi-agent Reinforcement Learning [PDF]
At present,most multi-agent reinforcement learning(MARL) algorithms using the architecture of centralized training and decentralized execution(CTDE) have good results in homogeneous multi-agent systems.However,for heterogeneous multi-agent systems ...
SHI Dian-xi, ZHAO Chen-ran, ZHANG Yao-wen, YANG Shao-wu, ZHANG Yong-jun
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Consensus Analysis of Heterogeneous Multi-Agent Systems with Time-Varying Delay
This paper studies consensus and \(H_\infty\) consensus problems for heterogeneous multi-agent systems composed of first-order and second-order integrator agents. We first rewrite the multi-agent systems into the corresponding reduced-order systems based
Beibei Wang, Yuangong Sun
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mPower: A component-based development framework for multi-agent systems to support business processes [PDF]
One of the obstacles preventing the widespread adoption of multi-agent systems in industry is the difficulty of implementing heterogeneous interactions among participating agents via asynchronous messages.
Lee, H, Mihailescu, P, Shepherdson, J
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Hybrid autonomous control for heterogeneous multi-agent system [PDF]
Reinforcement learning is an adaptive and flexible control method for autonomous system. In our previous works, we had proposed a reinforcement learning algorithm for redundant systems: "Q-learning with dynamic structuring of exploration space based
Gofuku, Akio, Ito, Kazuyuki
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Multi-Agent Contextual Bandits for Multi-Objective Recommendation Systems [PDF]
In this work, the use of multi-agent contextual bandits to optimize multi-objective recommendation systems in resource-constrained settings is examined.
Zhu Ziwen
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Observer-Based PID Control Protocol of Positive Multi-Agent Systems
This paper proposes the observer-based proportional-integral-derivative control of positive multi-agent systems. First, a positive observer is constructed for the considered multi-agent systems in terms of a matrix decomposition approach.
Xiaogang Yang +3 more
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