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Output synchronization of heterogeneous linear multi-agent systems
2017 11th Asian Control Conference (ASCC), 2017In this paper, we consider the output synchronization problem of a group of agents with general linear and heterogeneous dynamics. A distributed output feedback control law is designed, which is composed of a state observer and a reference model. As opposed to existing results, the reference model depends on relative output of original heterogeneous ...
Maobin Lu, Lu Liu 0002, Gang Feng 0001
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Verification of heterogeneous multi-agent system using MCMAS
International Journal of Systems Science, 2013The focus of the paper is how to model autonomous behaviours of heterogeneous multi-agent systems such that it can be verified that they will always operate within predefined mission requirements and constraints. This is done by using formal methods with an abstraction of the behaviours modelling and model checking for their verification.
Jiyoung Choi +2 more
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Integrating heterogeneous reasoning in a multi-agents system
Proceedings of the Twenty-Seventh Hawaii International Conference on System Sciences HICSS-94, 1994The paper addresses the problem of integrating several heterogeneous reasoning models to solve a common problem. These reasoning models are implemented in a multi-agents system. Each agent represents one domain reasoning model. The agents cooperate because none of them is able to solve a given overall problem.
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Consensus of hybrid multi-agent systems with heterogeneous dynamics
International Journal of Control, 2019This paper addresses the consensus problems for two kinds of hybrid multi-agent systems. The first kind of hybrid multi-agent system is composed of first-order discrete-time and second-order contin...
Qi Zhao, Yuanshi Zheng, Yunru Zhu
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Robust consensus of nonlinear heterogeneous multi-agent systems
52nd IEEE Conference on Decision and Control, 2013In this paper, we consider consensus of a group of heterogeneous agents with nonlinear dynamics in the presence of system uncertainties. It requires that all agent states reach an agreement which is governed by specified reference dynamics. However, the reference dynamics do not generate a specific reference trajectory for feedback regulation for any ...
Lijun Zhu 0001, Zhiyong Chen 0001
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Output consensus control for heterogeneous multi-agent systems
52nd IEEE Conference on Decision and Control, 2013We study distributed output feedback control of a heterogeneous multi-agent system (MAS), consisting of N different continuous-time dynamic systems. Conditions on the existence of distributed output feedback control protocols are derived and a solution is proposed to synthesize the stabilizing and consensus control protocols over directed graphs.
Luis Alvergue +3 more
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Cluster output regulation of heterogeneous multi-agent systems
International Journal of Control, 2019This paper studies the cluster output regulation problem of heterogeneous linear multi-agent systems under fixed directed topology, where dynamics of all agents are allowed to be different.
Kairui Chen +4 more
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Admissible consensus for heterogeneous descriptor multi-agent systems
International Journal of Systems Science, 2015This paper focuses on the admissible consensus problem for heterogeneous descriptor multi-agent systems. Based on algebra, graph and descriptor system theory, the necessary and sufficient conditions are proposed for heterogeneous descriptor multi-agent systems achieving admissible consensus.
Xin-Rong Yang, Guo-Ping Liu 0003
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Optimal topology for consensus of heterogeneous multi-agent systems
Neurocomputing, 2016Consensus can be achieved under various topologies for multi-agent systems. Then, which one is the optimal? In this paper, we consider the problem of optimal topology for consensus of heterogeneous multi-agent systems. We assume that the system consists of a leader and several followers with heterogeneous dynamics.
Huaizhu Wang, Jingying Ma
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Decentralized state estimation for heterogeneous multi-agent systems
2015 54th IEEE Conference on Decision and Control (CDC), 2015The paper proposes a decentralized state estimation method for the control of multi-agent networked systems, where the goal is the tracking of arbitrary setpoint functions. The cooperative agents are partitioned into independent robots, providing the control inputs, and dependent robots, controlled by local interaction laws.
Boem, Francesca +2 more
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