Fault detection based on multi-objective observer and interval hull computation
… zonotope. The recursive algorithm proposed in this section can obtain more accurate
thresholds than those by the zonotope-based method and has higher computational efficiency. …
thresholds than those by the zonotope-based method and has higher computational efficiency. …
Model-based thermal fault detection in Li-ion batteries using a set-based approach
… the advantages of constrained zonotopes over intervals in the detection of thermal faults
in Li-ion cells. As highlighted by the results, constrained zonotopes are able to provide a set-…
in Li-ion cells. As highlighted by the results, constrained zonotopes are able to provide a set-…
The Answer is 2n · n! What's the Question?
G Gordon - The American mathematical monthly, 1999 - Taylor & Francis
… Zach knows zonotopes; his idea is to find a class of zonotopes in which … zonotope arises
as a truncation of a cube; the vertices of the cube correspond to the hexagons of the zonotope, …
as a truncation of a cube; the vertices of the cube correspond to the hexagons of the zonotope, …
Fault diagnosis of wind turbines using a set-membership approach
… feasible parameter set (approximated by a zonotope) that is compatible with modelling and
… In this paper, the uncertain parameter set Θ in (1) is described by a zonotope centered in a …
… In this paper, the uncertain parameter set Θ in (1) is described by a zonotope centered in a …
Multivariate lorenz majorization
G Koshevoy - Social Choice and Welfare, 1995 - JSTOR
… zonotope, which is a generalization of the Lorenz curve to the multi-dimensional case. We
use the Lorenz zonotope … In contrast to their definitions, the Lorenz zonotope uniquely (up to a …
use the Lorenz zonotope … In contrast to their definitions, the Lorenz zonotope uniquely (up to a …
[PDF][PDF] Distributed Set-Based Observers Using Diffusion Strategies
A Alanwara, JJ Rathb, H Saidc, KH Johanssona… - researchgate.net
… Unlike prior efforts, we propose a new zonotopes intersection technique in the diffusion step,
which reduces the over-approximation of the intersection results. We use the term diffusion …
which reduces the over-approximation of the intersection results. We use the term diffusion …
Set-Membership Estimation in Shared Situational Awareness for Automated Vehicles in Occluded Scenarios
V Narri, A Alanwar, J Mårtensson… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
… of the resultant zonotope from the estimator is 132.4. Therefore, the resultant zonotopes are
an over-approximated zonotope, and it can also be observed that the resultant zonotope is …
an over-approximated zonotope, and it can also be observed that the resultant zonotope is …
Sensor-fault detection and Isolation using Interval Observers
F Xu, V Puig, C Ocampo-Martinez… - 2013 Conference on …, 2013 - ieeexplore.ieee.org
… Given a zonotope X = pEBGBr C n and a compatible matrix K, the image of the zonotope by
… both Wand V are zonotopes, thus, XO is also a zonotope whose center and segment matrix …
… both Wand V are zonotopes, thus, XO is also a zonotope whose center and segment matrix …
A hybrid stochastic-deterministic input design method for active fault diagnosis
… zonotopes, which are centrally symmetric convex polytopes that can be described as Minkowsi
sums of line segments [10]. In generator representation, a zonotope … of a zonotope is o = …
sums of line segments [10]. In generator representation, a zonotope … of a zonotope is o = …
[PDF][PDF] Package 'volesti'
V Fisikopoulos, A Chalkis - 2022 - cran.uni-muenster.de
… Given a zonotope (as an object of class Zonotope), this function computes the sum of the …
the m d-dimensional segments that define the zonotope. For an arbitrary simplex that is given in …
the m d-dimensional segments that define the zonotope. For an arbitrary simplex that is given in …