Discrete Dynamics in Nature and Society

Volume 2016 (2016), Article ID 3925386, 7 pages

http://dx.doi.org/10.1155/2016/3925386

## The Modelling and Control of a Singular Biological Economic System in a Polluted Environment

^{1}School of Science, Shenyang University of Technology, Shenyang 110870, China^{2}School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China^{3}State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China^{4}School of Science, Lanzhou University of Technology, Lanzhou 730050, China

Received 1 November 2015; Accepted 29 February 2016

Academic Editor: Viktor Avrutin

Copyright © 2016 Yi Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

A singular biological economic model with harvesting and stage structure is presented. The local stability of equilibriums of the system is investigated when the economic profit parameter is zero, and the conditions of the singularity induced bifurcation occurring at the positive equilibrium are obtained by the singular systems theory and bifurcation theory. In order to eliminate the singularity induced bifurcation, a state feedback controller is designed by controlling the fishing effort. At last, an application example is given to illustrate the validity of the theoretical results.

#### 1. Introduction

The environmental pollution is increasing with the development of science and technology and the improvement of people’s life. Pollution poses a threat to the survival of people and the development of human, which especially has great influence on biological economy. Some literatures have investigated the dynamic behavior of the biological systems which are affected by the environmental pollution [1–3]. In recent years, with the development of ecology and economic theory and application of general system theory in all fields, the results of singular biological models are continuously emerging, which include the following results. Chaotic phenomena of a class of singular biological economic systems are given in literatures [4–7]; bifurcations of a predator-prey model are obtained in literatures [8–11], which effected the stability of singular system model. Those authors propose different singular biological economic models from different views and design different controllers in line with corresponding bifurcation and impulsive behavior to eliminate those unstable phenomena.

The research of bifurcation problem of singular systems has obtained some results in power system, chemical industry, and biological system [12–16]. Further study on bifurcation problems of the singular system has important theoretical significance and practical application value because it can reveal instability mechanism of the biological economy system and specify a reasonable control strategy.

Therefore, it is significant to model and investigate biological economic model. In this paper, a singular biological economic model is proposed by using the theory of singular system, and then the local stability of equilibriums and the existence of the bifurcation in the neighborhood of the positive equilibrium are analyzed when the economic profit is zero. Then, singularity induced bifurcation occurring at the positive equilibrium of the system is showed. A controller is designed to stabilize the system. At last, an example is given to illustrate the validity of the theoretical results.

#### 2. Model Formulation

A single population model with stage structure is investigated in literatures [17–19]:where and are the densities of the immature population and mature population at time , denotes the birth rate of immature population, are the death rates of immature population and mature population, denotes the conversion rate from immature population into mature population, denotes the intraspecific effect coefficient, and all coefficients are positive.

A single population model in the polluted environment is investigated in [20]:where is the population density, is the concentration of environment pollutants, denotes the intrinsic growth rate when there is no pollution, denotes the capacity of the environment, can be interpreted as the measuring response function of the reduction of populations because of the pollution factor, denotes the amount of pollutants that are inputted by the outside, and can be interpreted as the reduction of pollutant concentration because of other factors. Assume that endotoxin excretion rate and purification rate are relatively small in an organism body, which can be neglected.

Based on system (1) and system (2), a single population model with stage structure is given as follows:where can be interpreted as the measuring response function of the reduction of population because of the pollution factor and can be interpreted as the reduction of pollutant concentration because of other factors.

According to literatures [21, 22], a singular biological economic model with environmental pollution factors is proposed as follows:where is the capture capability of mature population at time , denotes the unit price, denotes the unit cost, and denotes the economic profit. is the total revenue, is the total cost, and all the parameters are positive [23].

System (4) can be written aswhere

*Remark 1. *All elements in the last line of are 0 because the algebraic equation does not contain differential variable.

#### 3. Stability Analysis

Based on singular system theory and bifurcation theory, the local stability of system (4) is investigated in this section. According to the theory of public resources due to Gordon [21], the system may show the phenomenon of ecological economic equilibrium when the economic interest .

If , is an equilibrium point of system (4), where

When , is the unique positive equilibrium point of system (4), where

In what follows, we will investigate the local stability of equilibriums.

The linearization matrix of any equilibrium point of system (4) is

The characteristic equation of system (4) at is

Obviously, is one root of (10), and the other two roots are determined by the following equation:

It is obvious that , and ; then system (4) is stable at by the Routh-Hurwitz theorem [24].

From the above analysis, we have the following result.

Theorem 2. *When , system (4) is stable at .*

#### 4. The Singularity Induced Bifurcation

We will consider the singularity induced bifurcation occurring at the positive equilibrium point of system (4).

Theorem 3. *If , singularity induced bifurcation (SIB) occurs at positive equilibrium point of system (4) when bifurcation value . That is, when becomes from negative to positive, system (4) is unstable at .*

*Proof. *System (4) is written as follows:wherewhere is the bifurcation parameter. The following conditions are established when : Thus, the basic conditions of the SIB theorem [25] are satisfied. Singularity induced bifurcation (SIB) occurs at positive equilibrium point of system (4) when bifurcation value .

It is easy to obtain thatThe above formulas meet the singularity induced bifurcation theorem. System (4) losses stability once bifurcation parameter changes from negative to positive.

#### 5. Bifurcation Control

According to matrix and the linearization matrix at positive equilibrium point, it is easy to obtain thatBased on theorem 2-2.1 of literature [13], system (4) is locally controllable at positive equilibrium point. That is, for any initial point in the neighborhood of the positive equilibrium , there exists a controller that can make the trajectories of the system reach the equilibrium point.

Considering the system,

Denoting a state feedback controller , where denotes the state feedback gain, system (17) is written as follows:

Theorem 4. *If the state feedback controller-gain meets the following inequality,system (18) is stable at .*

*Proof. *The Jacobi matrix of system (18) at isThe corresponding characteristic equation isThen, system (18) is stable if We can obtain that

#### 6. Example

In recent years, environmental pollution accidents occur frequently in our country. Taking water pollution as an example, the total of the urban water pollution emergencies is 101 from 2001 to 2005 according to incomplete statistics. Since 2005, the sudden environmental pollution accidents are more and more prominent. Water pollution has both direct influence and indirect effects on the populations in aquatic ecosystems. The biological effects of pollutant on fish include death, slow growth, the decrease of production, the declination of increment rate, and lower yield. Since the fish resources with economic value can be damaged in the water containing a lot of aerobic organisms, many creatures are developed to adapt to the sewage environment. On June 4, 2011, the oil spill of Bohai Bay, Penglai 19-3 oil field, caused ecological damage and economic loss of fishermen.

By selecting some related data from China environment protection database and doing the appropriate treatment, the following parameters can be obtained [26, 27]:

System (18) can be written as follows: is the unique positive equilibrium of system (25). By Theorem 3, the singularity induced bifurcation occurs at the positive equilibrium of system (25). In order to eliminate singularity induced bifurcation, we design a controller . Thus, system (25) can be written as follow:

According to Theorem 4, when , system (26) is stable at ; that is, the bifurcation at of system (26) is eliminated. Figure 1 shows that the species face extinction gradually along with excessive capture. In order to maintain the sustainable development of population, the capture capability is needed to control. When , the state response of system (26) is shown by Figure 2, and the population and economic profits develop sustainably.