Fig. 4 Structure of the proposed robust detector.
The structure of the resulting robust limiting detector is shown in Fig. 4. The corresponding nullifying detector is obtained by setting the samples that are absolutely larger than (sqrt {eta }) to zero.
The proposed method considered the uncertainty involved in the raw material price by the stochastic generation of scenarios using the Latin Hypercube method followed by the implementation of the Monte-Carlo method, where a deterministic optimization problem was solved for each single scenario to select the structure of the more robust supply chain relying on statistical data.
The structure of the two-loop robust controller is illustrated.
Whilst the design and structure of the portal is robust, overall participation within the networking portal during the project period was low.
In fact, because of the interconnected structure of the network, a robust therapy was obtained by drug (i.e. parameter) combinations affecting at the same time processes with the same effect but dislocated in different points of the network.
The structure of general robust heteroclinic cycles may be very complex even if we only examine cases forced by symmetries - they easily form networks with multiple cycles.
Hence in the former case, robustness is achieved because diverse genetic modules - ranging from single haploid genes to complex genetic networks - can produce virtually identical phenotypes, whereas in the latter, it is achieved by ensuring the robust structure of the genetic networks underlying phenotypes.
Our results were broadly in support of the majority findings in the literature, indicating that the multi-domain structure of the BDI-II is robust, the bifactor model is the best representation of the relationship between the items of depression, and the psychometric characteristics of the BDI-II are adequate.
Our results broadly supported the majority of the findings in literature, which have indicated that the multidomain structure of the Taiwanese BCIS is robust, the two-factor model is the optimal representation of the relationship between the items measuring cognitive insight, and the psychometric characteristics of the Taiwanese BCIS are adequate for both nonpsychiatric and psychotic populations.
