A chromatographic method newly optimized to identify and assay four antihypertensive drugs in tablet dosage forms was complemented by a robustness test. The best system suitability criteria for numerous responses were evaluated on the basis of the robustness test results. Generally speaking, it is difficult to achieve a total satisfactory solution. Situations may also become ambiguous if the sy...

This paper studies the antiwindup synthesis problems for plants with coprime factor uncertainties. The proposed technique utilizes an equivalent framework of compensated systems to investigate the robustness of the antiwindup compensators. The penalty operators of the input saturation are studied originally in general cases. Robustness criteria are proposed for an antiwindup compensated system ...

in this paper, a new robust controller based on geometric homogeneity and adaptive integral sliding mode is proposed for a class of second order systems. the upper bound of the system disturbances is not required. fully unknown parameters have been considered in the described model and its finite–time convergence to zero equilibrium point is proved. moreover, the controller is developed in the ...

one of the most important parameters in evaluating a watermarking algorithm is its capacity. generally, watermarking capacity is expressed by bits per pixel (bpp) unit measure. but this measure does not show what the side effects would be on image quality, watermark robustness and capacity. in this paper we propose a three dimensional measure named capacity surface which shows the effects of ca...

The fundamental step in measuring the robustness of a system is the synthesis of the so-called Process Map. This is generally based on the user’s raw data material. Process Maps are of fundamental importance towards the understanding of the nature of a system in that they indicate which variables are causally related and which are particularly important. This paper represent the system Map or b...

In this article we develop an indirect approach for assessing criteria significance weights from the robustness of the significance that a decision maker acknowledges for his pairwise outranking statements in a Multiple Criteria Decision Aiding process. The main result consists in showing that with the help of a mixed integer linear programming model this kind of a priori knowledge is sufficien...

We address an original statistical method for unsupervised identification and concentration estimation of spectrally interfering gas components of unknown nature and number. We show that such spectral unmixing can be efficiently achieved using information criteria derived from the Minimum Description Length (MDL) principle, outperforming standard information criteria such as AICc or BIC. In the...

One of the most important paradigms in the inductive inference literature is that of robust learning. This paper adapts and investigates the paradigm of robust learning to learning languages from positive data. Broadening the scope of that paradigm is important: robustness captures a form of invariance of learnability under admissible transformations on the object of study; hence, it is a very ...

Cervicogenic headache (CEH) is a headache, but its origin is in the neck. Recently, two cases of intracranial tumour, which unfortunately were originally diagnosed as CEH, were published. The authors felt that this sequence of events demonstrates the insufficiency of the current CEH criteria. We--on the other hand--feel strongly that, on the contrary, this small challenge may have demonstrated ...

Statistical criteria for forecast quality in practice have limited relevance. They can be valid only in the context of a set of untested assumptions which are usually unknown and certainly difficult to judge for the client. Three non-statistical criteria are stressed: logical coherence, economic coherence, and stability. These criteria are best served by the use of structural models. As loss fu...