2019
DOI: 10.1049/iet-cta.2018.6113
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Distributed cooperative adaptive state estimation and system identification for multi‐agent systems

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Cited by 16 publications
(17 citation statements)
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“…Notice that the estimation error can be made arbitrary small with a sufficient large number of neurons, and γ is the leakage term chosen as a small positive constant. Therefore, we can conclude that the closed-loop system (20), (27), and ( 28) is stable, i.e. V ≤ 0, if the following condition stands…”
Section: H(xmentioning
confidence: 97%
See 1 more Smart Citation
“…Notice that the estimation error can be made arbitrary small with a sufficient large number of neurons, and γ is the leakage term chosen as a small positive constant. Therefore, we can conclude that the closed-loop system (20), (27), and ( 28) is stable, i.e. V ≤ 0, if the following condition stands…”
Section: H(xmentioning
confidence: 97%
“…The learned knowledge of the system uncertainties, presented by the RBFNNs, cannot be directly applied on a different control task, and it will need a significant amount of storage space for a large number of different tasks. In recent years, distributed control is a rising topic regarding the control of multiple coordinated agents [15,16,17,18,19,20]. In this chapter, we took the idea of communicating inside the multi-agent system (MAS) and apply it on DL, such that in the learning phase, any vehicle in the MAS is able to learn the unmodeled dynamics not only along its own trajectory, but along the trajectories of all other vehicle agents in this MAS as well.…”
Section: Introductionmentioning
confidence: 99%
“…In parallel to these single-agent results, cooperative adaptive estimation and control [16][17][18][19][20][21][22][23][24][25][26] has gained a lot of attention, where it is shown that distributed identification algorithms outperform conventional estimation algorithms in terms of transient response and robustness. Inspired from consensus theory, the fundamental idea of cooperative adaptive identification is that multiple uncertain agents simultaneously perform estimation while sharing information to each other in a distributed fashion through a communication graph topology.…”
Section: Introductionmentioning
confidence: 99%
“…Multi-agent systems (MAS) and the corresponding consensus problem have become hot topics over the past decades [1][2][3][4][5][6][7][8] due to its wide applications in various fields like UAV formation [9], sensor networks [10], smart grid [11] and so on. During the control of systems, a crucial concern is the limitation of its computation ability and energy consuming.…”
Section: Introductionmentioning
confidence: 99%