scholarly journals Determining Asymptotic Stability and Robustness of Networked Systems

Systems ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 39
Author(s):  
Elias August

This paper is motivated by the notion that coupling systems allows for mitigating the failure of individual ones. We present a novel approach to determining asymptotic stability and robustness of a network consisting of coupled dynamical systems, where individual system dynamics are represented through polynomial or rational functions. The analysis relies on a local analysis; thus, making it computationally implementable. We present an efficient computational method that relies on semidefinite programming. Importantly, for cases where multiple equilibrium points exist, we show how to determine regions around an asymptotically stable equilibrium point that bounds solutions. These regions increase when systems are coupled as we observe when applying the presented analysis framework to a mathematical model of a continuous stirred tank reactor. Importantly, the presented work has implications to other fields as well.

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 336
Author(s):  
Askhat Diveev ◽  
Elizaveta Shmalko

This article presents a study devoted to the emerging method of synthesized optimal control. This is a new type of control based on changing the position of a stable equilibrium point. The object stabilization system forces the object to move towards the equilibrium point, and by changing its position over time, it is possible to bring the object to the desired terminal state with the optimal value of the quality criterion. The implementation of such control requires the construction of two control contours. The first contour ensures the stability of the control object relative to some point in the state space. Methods of symbolic regression are applied for numerical synthesis of a stabilization system. The second contour provides optimal control of the stable equilibrium point position. The present paper provides a study of various approaches to find the optimal location of equilibrium points. A new problem statement with the search of function for optimal location of the equilibrium points in the second stage of the synthesized optimal control approach is formulated. Symbolic regression methods of solving the stated problem are discussed. In the presented numerical example, a piece-wise linear function is applied to approximate the location of equilibrium points.


2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Hongying Wen ◽  
Kairong Liang ◽  
Yiquan Li

Internet public opinion events at universities in China occurred frequently, creating painful repercussions for reputation and stability of colleges and universities. To better cope with the problem, this paper explores an evolutionary mechanism of the university Internet public opinion events. Firstly, we discuss the interactions and behavior of three key participants: an Internet medium, university students as a whole, and administration. Secondly, we construct a tripartite evolutionary game model consisting of an Internet medium, student group, and university administration and then analyze and obtain the differential dynamic equations and equilibrium points. Subsequently, the evolutionary stable equilibrium is further analyzed. Finally, we employ numerical studies to examine how the tripartite behavior choices affect evolutionary paths and evolutionary equilibrium strategies. Results are derived as follows: under certain conditions, there exists an asymptotically stable equilibrium point for the tripartite evolutionary game. On the one hand, appropriate penalties and rewards should be provided to foster objectives and fair behaviors of the network medium. On the other hand, university students should be educated and guided to deal rationally with negative effects of Internet public opinion events. Moreover, online real-name authentication is an important and necessary measure. Finally, the university administration should release truthful, timely, and comprehensive information of Internet public opinion events to mitigate potential negative impacts.


2021 ◽  
Vol 19 (2) ◽  
pp. 1677-1695
Author(s):  
Boli Xie ◽  
◽  
Maoxing Liu ◽  
Lei Zhang

<abstract><p>In order to study the impact of limited medical resources and population heterogeneity on disease transmission, a SEIR model based on a complex network with saturation processing function is proposed. This paper first proved that a backward bifurcation occurs under certain conditions, which means that $ R_{0} &lt; 1 $ is not enough to eradicate this disease from the population. However, if the direction is positive, we find that within a certain parameter range, there may be multiple equilibrium points near $ R_{0} = 1 $. Secondly, the influence of population heterogeneity on virus transmission is analyzed, and the optimal control theory is used to further study the time-varying control of the disease. Finally, numerical simulations verify the stability of the system and the effectiveness of the optimal control strategy.</p></abstract>


2019 ◽  
Vol 30 (12) ◽  
pp. 2050004
Author(s):  
Ning Cui ◽  
Junhong Li

This paper formulates a new hyperchaotic system for particle motion. The continuous dependence on initial conditions of the system’s solution and the equilibrium stability, bifurcation, energy function of the system are analyzed. The hyperchaotic behaviors in the motion of the particle on a horizontal smooth plane are also investigated. It shows that the rich dynamic behaviors of the system, including the degenerate Hopf bifurcations and nondegenerate Hopf bifurcations at multiple equilibrium points, the irregular variation of Hamiltonian energy, and the hyperchaotic attractors. These results generalize and improve some known results about the particle motion system. Furthermore, the constraint of hyperchaos control is obtained by applying Lagrange’s method and the constraint change the system from a hyperchaotic state to asymptotically state. The numerical simulations are carried out to verify theoretical analyses and to exhibit the rich hyperchaotic behaviors.


2012 ◽  
Vol 524-527 ◽  
pp. 3705-3708
Author(s):  
Guang Cai Sun

This paper deals with the mathematics model of two populations Commensalisms symbiosis and the stability of all equilibrium points the system. It has given the conclusion that there is only one stable equilibrium point the system. This paper also elucidates the biology meaning of the model and its equilibrium points.


1976 ◽  
Vol 24 (1_suppl) ◽  
pp. 9-24
Author(s):  
James G. Anderson ◽  
Mark Triplett

In this paper a dynamic structural equation model consisting of a set of difference equations has been constructed in order to examine the process by which groups generate pressures toward uniformity. The model is based on Festinger's hypotheses about communication resulting from such pressures. Parameters of the model have been estimated from a consideration of one of the equilibrium conditions of the model. Hypothetical time paths that describe the dynamic behaviour of the system have been generated by a series of computer simulation runs. These graphs describe the process by which group cohesiveness and discrepancy in opinions among group members adjust to each other over time. The model has lead to a number of major insights into this dynamic process. The results of the simulation indicate the existence of multiple equilibrium points for the system and that the relevance of the issue for the group's functioning is a critical factor in determining the rate at which a new equilibrium is reached once the initial equilibrium is disturbed. Groups can and do attempt to influence members in order to achieve uniformity of opinions, beliefs, values and behaviour (Asch, 1951; Deutsch and Gerard, 1955; Scott 1965). Cartwrght and Zander (1968) in reviewing the theoretical explanations of why groups attempt to achieve uniformity point out four functions that such pressure serves; namely goal attainment (Festinger, 1950), group maintenance (Stock, Whitman and Lieberman, 1958), the development of social reality through consensus (Festinger, 1954; Schachter, 1959), and achievement of consensus concerning group relations with its social surroundings (Burns, 1955; Cohen, 1955; Yinger, 1950). As a result discrepancies in opinions, beliefs, values and behaviour, give rise to pressures on members to communicate with one another. Festinger (1950) in his investigations of informal social communications has enumerated a set of hypotheses concerning such communication that results from group pressures to achieve uniformity. Several of his hypotheses are concerned with members of the group as a whole and form the basis of one model by Simon and Guetzkow (1955) involving a set of differential equations. In the following section of this paper Festinger's verbal theory will be recast as a causal model (Blalock, 1969). A dynamic structural equation model will be developed consisting of a set of difference equations. This structural model will form the basis of a computer simulation model which will be validated with data from studies by Festinger, Schachter and Back (1950), Festinger and Thibaut (1951) and Back (1951).


2010 ◽  
Vol 24 (03) ◽  
pp. 397-404 ◽  
Author(s):  
XINGYUAN WANG ◽  
XINGUANG LI

Classical feedback method is used to control chaos in the Liu dynamical system. Based on the Routh–Hurwitz criteria, the conditions of the asymptotic stability of the steady states of the controlled Liu system are discussed, and they are also proved theoretically. Numerical simulations show that the method can suppress chaos to both unstable equilibrium points and unstable periodic orbits (limit cycles) successfully.


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