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Encounter thinking, our response to the exceptional, saves us from the errors of consensus and the expectations of smooth process that, like myths of consolation, leave us ill-equipped to deal with changes when they come.
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A dataset with contigs >200 bp was then used to map the reads using maximum stringency (100% LF and 100% SIM), in order to minimize the error of consensus sequences while improving the coverage of conserved sequences.
In addition to potential alignment errors, choice of consensus is a subjective human decision.
RefAligner assumes the alignment reference has the error profile of in silico maps and the query has the error profile of consensus genome maps.
The effect of the quantization error on consensus is analyzed for the case that the nodes' dynamics is described by the first order integrator with a quantized message input.
To compensate the effects due to unknown trajectory information, a smooth function of consensus errors and certain positive integrable functions are introduced in designing virtual control inputs.
By introducing compensating terms in a smooth function form of consensus errors and certain positive integrable functions in each step of virtual control design, a new backstepping based distributed adaptive control protocol is proposed.
Analytic estimates of consensus error are given.
This study deals with the problem of consensus error calculation for linear multi-agent systems (MASs) with system noises and measurement noises.
In the sense of Lyapunov stability, it is proved that the leader follower consensus for the closed-loop linear and nonlinear multi-agent systems can be achieved by employing novel error forms that decouple the leader follower consensus errors of the three-layer network framework.
Stochastic boundedness of estimation error and weak consensus of the error covariance have been established under weak assumptions about detectability and connectivity of the networked system.
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