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We discuss a detailed architecture of the proposed rule-based model and present its design based on an augmented version of Fuzzy C-Means (FCM).
Conditions under which the relaxed problem yields to the same solution as the original problem are given and a distributed consensus-based implementation of the algorithm is proposed based on an augmented Lagrangian approach and primal-dual decomposition methods.
In this paper, a new method based on an augmented Lagrangian function and the Stochastic Gradient and the Finite Difference (SGFD) for nonlinear constrained production optimization is proposed.
The contact problem is based on an Augmented Lagrangian Formulation and the use of projection functions to establish the contact restrictions.
A parallel-in-time algorithm based on an augmented Lagrangian approach is proposed to solve four-dimensional variational (4D-Var) data assimilation problems.
The numerical scheme is based on an augmented Roe solver that involves the presence of source terms by adding an extra stationary wave.
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In this paper, we present a unified approach to global localisation and position tracking which is based on a topological map augmented with metric information.
At planning, definition of the tumour and healthy tissue is based on CT, augmented frequently with MRI and PET.
For notational convenience, the function m i(t) is defined to be equal to 1 if patient i is colonized and on the ward at time t based on the augmented data.
We propose a hybrid design based on augmenting a set of affected individuals and their parents with a set of unaffected, unrelated individuals and their parents.
Based on a class of novel augmented Lyapunov-Krasovskii functionals, a model transformation, the decomposition technique of constant coefficients, the Leibniz-Newton formula, and utilization of a zero equation, new delay-range-dependent exponential stability criteria are derived in terms of the linear matrix inequality (LMI) for the equations considered.
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