Search | SciELO

ABSTRACT The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others. publications problem uptodate up date classifications context exception (CTFB http//fauna.jbrj.gov.br/, httpfaunajbrjgovbr http //fauna.jbrj.gov.br/ , jbrj gov br (http://fauna.jbrj.gov.br/) 2015 Brazil 80 specialists 1 2024 133691 133 691 133,69 125138 125 138 125,13 82.3%, 823 82 3 (82.3% 102000 102 000 102,00 7.69%, 769 7 69 (7.69% 11000 11 11,00 . 3,567 3567 567 (3,56 2,292 2292 2 292 (2,29 1,833 1833 833 (1,83 1,447 1447 447 (1,44 1000 1,00 831 (83 628 (62 606 (60 520 (52 50 users science health biology law anthropology education others http//fauna.jbrj.gov.br/ faunajbrjgovbr //fauna.jbrj.gov.br (http://fauna.jbrj.gov.br/ 201 8 202 13369 13 133,6 12513 12 125,1 82.3% (82.3 10200 10 00 102,0 7.69% 76 6 (7.69 1100 11,0 3,56 356 56 (3,5 2,29 229 29 (2,2 1,83 183 83 (1,8 1,44 144 44 (1,4 100 1,0 (8 62 (6 60 52 (5 5 http//fauna.jbrj.gov.br (http://fauna.jbrj.gov.br 20 1336 133, 1251 125, 82.3 (82. 1020 0 102, 7.69 (7.6 110 11, 3,5 35 (3, 2,2 22 (2, 1,8 18 (1, 1,4 14 4 ( 82. (82 7.6 (7. 3, (3 2, (2 (1 7. (7

Neste trabalho, o conceito de função de Lyapunov de controle é estendido em duas direções principais. Na primeira direção, o conceito de função energia de controle (FEC) é proposto com o objetivo de não somente projetar leis de controle estabilizantes para sistemas não lineares mas também com o objetivo de fornecer uma estimativa da região de estabilidade do sistema em malha fechada. A FLC garante estabilidade local de um certo ponto de equilíbrio do sistema em malha fechada, mas usualmente não fornece estimativasótimas da região de estabilidade. O conceito de FEC é mais exigente que o conceito de FLC. Além de garantir estabilidade local do equilíbrio, a FEC fornece informações globais a respeito dos conjuntos limites e estimativas ótimas das regiões de estabilidade. A segunda direção está relacionada com o fato de que, em geral, é difícil encontrar FLC ou FEC para muitos sistemas não lineares. De forma a minimizar este problema e aplicar õ conceito de CEF em uma classe maior de sistemas, propõe-se neste artigo o conceito de função energia generalizada de controle (FEGC). A FEGC permite o projeto de controladores mesmo quando a derivada da função energia é positiva em algumas regiões limitadas do espaço de estados.

extended in two main directions. In the first direction, the concept of control energy function (CEF) is proposed not only to design stabilizing feedback control laws but also to provide an estimate of the stability region of the closed-loopsystem. The CLF guarantees local stability of the closedloop- system but usually cannot provide optimal estimates of its stability region. The CEF concept is more restrict than the CLF concept. Beyond the guarantee of local stability, the CEF provides global information about limit sets and optimal estimates of stability region. The second direction is related to the fact that, in general, it is difficult to find a CLF or a CEF for many nonlinear systems. In order to overcome this problem and apply the concept of CEF for a larger class of systems, the concept of generalized control energy function (GCEF) is proposed in this paper. The GCEF allows the design of nonlinear controllers even when the derivative of the energy function is positive in some bounded regions of the state space.

Index code	Element
ti	article title
au	author
kw	article keywords
subject	subject (title words, abstract and keywords)
ab	abstract
ta	journal short title (e.g. Cad. Saúde Pública)
journal_title	journal full title (e.g. Cadernos de Saúde Pública)
la	publication language code (e.g. pt - Portuguese, es - Spanish)
type	document type
pid	publication identifier
publication_year	publication year of publication
sponsor	sponsor
aff_country	country code of the author's affiliation
aff_institution	author affiliation institution
volume	article volume
issue	article issue
elocation	elocation
doi	DOI number
issn	journal ISSN
in	SciELO colection code (e.g. scl - Brasil, col - Colômbia)
use_license	article usage license code

No documents were found for your search