Formation Control of Multi-Agent Systems with Sampled Information -- Relationship Between Information Exchange Structure and Control Performance --

By T. Hayakawa, Takuji Matsuzawat, Shinji Hara. 2006

103 citations recorded by the source corpus.

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Citations in the corpus

Consensus strategy for a class of multi‐agents with discrete second‐order dynamics (2012, background): “In the sampled-data setting, following [21], let ui (t)=ui [k], kT t<(k+1)T, where k denotes the discrete-time index, T denotes the sampling period and ui [k] is the control input at t=kT , then discretizing (1) with sampling period T gives xi [k+1]−xi [k] = T vi [k]+ (1)2T (2)ui [k], vi [k+1]−vi [k”
Network-based leader-following consensus for distributed multi-agent systems (2013, result): “However, due to the effect of the network-induced delay, the results in Cao andRen (2010), Hayakawa et al. (2006) and Yu, Zheng et al.”
Asynchronous consensus of continuous-time multi-agent systems with intermittent measurements (2010, background): “Consensus problems of continuous-time second-order agents were studied in Hayakawa, Matsuzawa, and Hara (2006) and Ren and Cao (2008), where each agent obtains the measurements of relative states only at discrete times.”
Consensus of multiple double‐integrator agents with intermittent measurement (2010, background): “In [21, 22], consensus problems were addressed for agents with double-integrator dynamics, where each agent obtains the information of its states relative to its neighbors only at discrete times, which are the same for all agents.”
Consensus in networked multi-agent systems via sampled control: Switching topology case (2009, background): “In [31] and [32], formation control of multi-agent systems with intermittent information exchange between the agents was considered.”
A distributed event-triggered transmission strategy for sampled-data consensus of multi-agent systems (2014, background): “In such a case, the distributed event-triggered transmission strategy is reduced to the time-triggered transmission strategy (Cao & Ren, 2010; Hayakawa et al., 2006; Liu et al., 2010).”
Sampled-Data Based Consensus of Continuous-Time Multi-Agent Systems With Time-Varying Topology (2011, background): “Clearly, , , and the delays of system (8) are not larger than . Note that system (8) is different from the discrete-time second-order multi-agent system in [16] and the discrete-time systems obtained by discretization in [ 19 ]‐[22].”
Consensus of multi-agent systems based on sampled-data control (2009, methodology): “Sampled-data control has been introduced into consensus problems; see, for example, Hayakawa, Matsuzawa, and Hara (2006) and Ren and Cao (2008), where each agent is with double-integrator dynamics and only obtains the measurements of its positions and velocities relative to its neighbours at…”
Consensus of multi‐agent systems with nonlinear dynamics and sampled‐data information: a delayed‐input approach (2013, methodology): “With the use of energy-based analysis, some stability conditions of sampled-data systems were obtained and veriﬁed by simulations [18,19].”