2010
DOI: 10.1109/tac.2010.2041612
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Consensus of Data-Sampled Multi-Agent Systems With Random Communication Delay and Packet Loss

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Cited by 228 publications
(114 citation statements)
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“…Generally, the characteristic of data packet dropouts can be categorized into random and deterministic types. Random data packet dropouts are commonly modeled as an independent and identically distributed process, such as a Bernoulli process [75,77,76,97], and a Markov process [71]. A major concern under this modeling framework is how to establish the relationship between an allowable probability of packet dropouts or an allowable data transmission rate and stability and/or system performance.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…Generally, the characteristic of data packet dropouts can be categorized into random and deterministic types. Random data packet dropouts are commonly modeled as an independent and identically distributed process, such as a Bernoulli process [75,77,76,97], and a Markov process [71]. A major concern under this modeling framework is how to establish the relationship between an allowable probability of packet dropouts or an allowable data transmission rate and stability and/or system performance.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…The main research on quantization consensus is that maximum state difference should not be lager enough then the associated system accuracy level which is motivated by digital signal processing. Time delay consensus with complex dynamics are also studied for double-integrator dynamics [48], general nonlinear dynamics [49] and rigid bodies [50]. Similarly, main tools of stability analysis for both linear and nonlinear dynamics are addressed through matrix theory [51], Lyapunov approach [52], contraction principle [53] and frequency domain function [44].…”
Section: Quantization and Sample-data Consensusmentioning
confidence: 99%
“…Sample date consensus with a fix and switching topology using single integrator [66] and double integrator kinematics [67] are also investigated. Similarly approaches with different conditions for sample data consensus are address using stochastic matrices [67], Lyapunov function [68], matrix theory [48] and linear matrix inequality [69].…”
Section: Quantization and Sample-data Consensusmentioning
confidence: 99%
“…In recent years, the control of multi-agent systems has received compelling attentions and emerged as a challenging research field [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. There are many open problems in consensus of multi-agent system, such as the nonlinear system, the data missing, the time delay and even the fault diagnosis [17][18][19].…”
Section: Introductionmentioning
confidence: 99%