Finite-Time Stability Analysis and Control for a Class of Stochastic Singular Biological Economic Systems Based on T-S Fuzzy Model

This paper studies the problem of finite-time stability and control for a class of stochastic singular biological economic systems. It shows that such systems exhibit the distinct dynamic behavior when the economic profit is a variable rather than a constant. Firstly, the stochastic singular biological economic systems are established as fuzzy models based on T-S fuzzy control approach. These models are described by stochastic singular T-S fuzzy systems. Then, novel sufficient conditions of finite-time stability are obtained for the stochastic singular biological economic systems, and the state feedback controller is designed so that the population (state of the systems) can be driven to the bounded range by the management of the open resource. Finally, by using Matlab software, numerical examples are given to illustrate the effectiveness of the obtained results

International Conference on Dynamic Control and Optimization - DCO 2021: book of abstracts

Sem resumo disponível.publishe

Sustainable Development of Dynamic Fisheries and Cost-Benefits Analysis with Mathematical Approach

With Gambia’s marine resources abundance, it is appropriate for Gambia’s economic growth to gear towards the fisheries sector. Fishery management in The Gambia is still not operating optimally due to a lack of fisheries management infrastructure.This study has uncovered important aspects of the fishing industry, especially in The Gambia. If the right policies and guidelines are put in place, the majority of waste and the depletion of renewable resources might be avoided. It is possible to maximize utilities without wasting resources. The solutions of the total cost (TC), total revenue (TR), and price functions of an operation are all given using differential equation.The original equation of Schaefer's model forced numerous researchers to shed light on the spatial distribution of fish and fisheries. Using a cost operation model and an analysis of the rate of change over time, the author of this study found that fishing expenses can be decreased without compromising effectiveness or efficiency. The model was also expanded to include non-autonomous price and cost characteristics.This study will inspire other academics and researchers to take similar actions to stop the decline and near-extinction of the critically important fish fishery, not only in The Gambia but also along the entire coast of West Africa, given that the fishes are highly migratory and a shared resource among the countries in the subregion

Sustainable Development of Dynamic Fisheries and Cost-Benefits Analysis with Mathematical Approach

With Gambia’s marine resources abundance, it is appropriate for Gambia’s economic growth to gear towards the fisheries sector. Fishery management in The Gambia is still not operating optimally due to a lack of fisheries management infrastructure.This study has uncovered important aspects of the fishing industry, especially in The Gambia. If the right policies and guidelines are put in place, the majority of waste and the depletion of renewable resources might be avoided. It is possible to maximize utilities without wasting resources. The solutions of the total cost (TC), total revenue (TR), and price functions of an operation are all given using differential equation.The original equation of Schaefer's model forced numerous researchers to shed light on the spatial distribution of fish and fisheries. Using a cost operation model and an analysis of the rate of change over time, the author of this study found that fishing expenses can be decreased without compromising effectiveness or efficiency. The model was also expanded to include non-autonomous price and cost characteristics.This study will inspire other academics and researchers to take similar actions to stop the decline and near-extinction of the critically important fish fishery, not only in The Gambia but also along the entire coast of West Africa, given that the fishes are highly migratory and a shared resource among the countries in the subregion

New Development of Neutrosophic Probability, Neutrosophic Statistics, Neutrosophic Algebraic Structures, and Neutrosophic & Plithogenic Optimizations

This Special Issue puts forward for discussion state-of-the-art papers on new topics related to neutrosophic theories, such as neutrosophic algebraic structures, neutrosophic triplet algebraic structures, neutrosophic extended triplet algebraic structures, neutrosophic algebraic hyperstructures, neutrosophic triplet algebraic hyperstructures, neutrosophic n-ary algebraic structures, neutrosophic n-ary algebraic hyperstructures, refined neutrosophic algebraic structures, refined neutrosophic algebraic hyperstructures, quadruple neutrosophic algebraic structures, refined quadruple neutrosophic algebraic structures, neutrosophic image processing, neutrosophic image classification, neutrosophic computer vision, neutrosophic machine learning, neutrosophic artificial intelligence, neutrosophic data analytics, neutrosophic deep learning, neutrosophic symmetry, and their applications in the real world. This book leads to the further advancement of the neutrosophic and plithogenic theories of NeutroAlgebra and AntiAlgebra, NeutroGeometry and AntiGeometry, Neutrosophic n-SuperHyperGraph (the most general form of graph of today), Neutrosophic Statistics, Plithogenic Logic as a generalization of MultiVariate Logic, Plithogenic Probability and Plithogenic Statistics as a generalization of MultiVariate Probability and Statistics, respectively, and presents their countless applications in our every-day world

MS FT-2-2 7 Orthogonal polynomials and quadrature: Theory, computation, and applications

Quadrature rules find many applications in science and engineering. Their analysis is a classical area of applied mathematics and continues to attract considerable attention. This seminar brings together speakers with expertise in a large variety of quadrature rules. It is the aim of the seminar to provide an overview of recent developments in the analysis of quadrature rules. The computation of error estimates and novel applications also are described

Generalized averaged Gaussian quadrature and applications

A simple numerical method for constructing the optimal generalized averaged Gaussian quadrature formulas will be presented. These formulas exist in many cases in which real positive GaussKronrod formulas do not exist, and can be used as an adequate alternative in order to estimate the error of a Gaussian rule. We also investigate the conditions under which the optimal averaged Gaussian quadrature formulas and their truncated variants are internal

New Development of Neutrosophic Probability, Neutrosophic Statistics, Neutrosophic Algebraic Structures, and Neutrosophic Plithogenic Optimizations

This volume presents state-of-the-art papers on new topics related to neutrosophic theories, such as neutrosophic algebraic structures, neutrosophic triplet algebraic structures, neutrosophic extended triplet algebraic structures, neutrosophic algebraic hyperstructures, neutrosophic triplet algebraic hyperstructures, neutrosophic n-ary algebraic structures, neutrosophic n-ary algebraic hyperstructures, refined neutrosophic algebraic structures, refined neutrosophic algebraic hyperstructures, quadruple neutrosophic algebraic structures, refined quadruple neutrosophic algebraic structures, neutrosophic image processing, neutrosophic image classification, neutrosophic computer vision, neutrosophic machine learning, neutrosophic artificial intelligence, neutrosophic data analytics, neutrosophic deep learning, and neutrosophic symmetry, as well as their applications in the real world