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Given a bounded curvature reference path and an upper bound on the maximum curvature that the robot is able to drive, the proposed feedback solution guarantees asymptotic convergence to the assigned path with a Lyapunov asymptotically stable error dynamics while always satisfying the curvature constraint.
Finally, we consider the problem when the host switches are distance-bounded, i.e. there exists a bound on the maximum distance k along the host tree to which a parasite can jump.
To investigate the tightness of the right-most bound in (18), we can derive a lower bound on the maximum position error v max ( x ̂, ℬ ′ ) based on the upper bound derived in (18) considering the methods proposed in [25, 26].
We derived an upper bound on the maximum achievable diversity by Hadamard and tensor products.
The Shannon theorem gives the upper bound on the maximum data of a link.
Now we use an upper bound on the maximum of the trace.
This relaxation yields an upper bound on the maximum sum rate.
The performance of the proposed design represents an upper bound on the maximum throughput performance.
First, the problem of finding a lower bound on the maximum sampling period that preserves the stability is formulated.
We derive an upper bound on the maximum achievable diversity of this system using Hadamard and tensor products.
The bound on the maximum number of calls results in a characteristic gap of just over a week.
More suggestions(16)
depended on the maximum
bound on the estimation
bound on the outage
bound on the optimal
bound on the amount
bound on the energy
bound on the size
bound on the generalization
bound on the measurement
bound on the cost
bound on the value
bound on the stability
bound on the length
bound on the accuracy
bound on the probability
bound on the model
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com