Juan Jose Maldonado

Learn More
This paper presents the mean-square filtering problem for incompletely measured polynomial system states, confused with white Poisson noises, over linear observations. The problem is treated proceeding from the general expression for the stochastic Ito differential of the optimal estimate and the error variance. As a result, the Ito differentials for the(More)
Lead (Pb) is a metal that is non-essential to any metabolic process and, moreover, highly deleterious to life. In microbial mats - benthic stratified ecosystems - located in coastal areas, phototrophic microorganisms (algae and oxygenic phototrophic bacteria) are the primary producers and they are exposed to pollution by metals. In this paper we describe(More)
The roles of consortia of phototrophic microorganisms have been investigated in this paper to determine their potential role to tolerate or resist metals and to capture them from polluted cultures. With this purpose, two consortia of microorganisms: on one hand, Geitlerinema sp. DE2011 (Ge) and Scenedesmus sp. DE2009 (Sc) (both identified in this paper by(More)
A bacterial strain (DE2008) was isolated from a consortium of microorganisms living in the microbial mats of the Ebro Delta with the ability to grow under conditions of high concentrations of lead and copper. Strain DE2008 has been characterized by microscopic and metabolic techniques and identified by sequencing of PCR-amplified 16S rRNA gene fragments as(More)
Microbial mats are coastal ecosystems that consist mainly of cyanobacteria, primary producers in these habitats that play an important role in stabilising delta sediments. However, these ecosystems are subject to various kinds of pollution, including metal contamination, placing their survival at risk. Among heavy metals, copper is an essential metal at low(More)
The risk-sensitive filter design problem with respect to the exponential mean-square criterion is considered for stochastic Gaussian systems with polynomial drift terms and intensity parameters multiplying diffusion terms in the state and observations equations. The closed-form suboptimal filtering algorithm is obtained by linearizing a nonlinear third(More)
Algae are primary producers in a wide variety of natural ecosystems, and these microorganisms have been used in bioremediation studies. Nevertheless, very little is known about the in vivo effect of heavy metals on individual living cells. In this paper, we have applied a method based on confocal laser scanning microscopy and lambda scan function(More)
In previous studies, our group developed a method based on Confocal Laser Scanning Microscopy and Image Analysis (CLSM-IA) to analyze the diversity and biomass of cyanobacteria in microbial mats. However, this method cannot be applied to heterotrophic microorganisms, as these do not have autofluorescence. In this article, we present a method that combines(More)
In this paper, the mean-square filtering problem for polynomial system states confused with white Poisson noises over polynomial observations is studied proceeding from the general expression for the stochastic Ito differentials of the mean-square estimate and the error variance. In contrast to the previously obtained results, the paper deals with the(More)
This paper presents the mean-square state and parameter estimation problem for stochastic linear systems with unknown multiplicative and additive parameters over linear observations, where unknown parameters are considered Poisson processes. The original problem is reduced to the filtering problem for an extended state vector that incorporates parameters as(More)