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The automated controller design is based on the so-called finite-time convergence concept after compensating for the nonlinearities of powertrain dynamics via an inverse model.
Two concepts will be discussed below: the first concept tackles the properties of infinitely often events and is also closely connected with the convergence concept, and the second one is based on some properties of the Lebesgue integral with respect to a probabilistic measure and is related to the possibility to take limits under the sign of 'mathematical expectation'.
In addition, Apple could run into problems with the convergence concept behind its iPhone.
We recall some concepts from probabilistic metric space [6, 7] and convergence concept.
"It's picking its niches and going deep in them". In addition, Apple could run into problems with the convergence concept behind its iPhone.
Reversing the order of integration and using the convergence concept of a generalized function we have the inner integral e^{iKs} int_{ - infty }^{infty } {S_{xi xi } (K e^{i(K - Upomega )X} } {text{d}}X = 2pi delta (K - Upomega ){text{e}}^{iKs}.
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Large sample theory: basic convergence concepts; robustness; efficiency; contiguity, locally asymptotically normal experiments; convolution theorem; asymptotically UMP and maximin tests.
The results state qualitative connections between the models formulated as precise probabilistic convergence concepts.
Usually, two types of convergence concepts are used in the literature.
This result also allows to obtain limits for qualitatively different stochastic convergence concepts, e.g., convergence in the mean.
In relation to the need for convergence, the concept of Goal Coherence is introduced, which is measured as the amount of consensus on goal priorities within and, moreover, between goal interdependent groups.
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