Consensus problems in multi agent systems (MAS) are theoretical aspect convergence of doubly stochastic quadratic operators. This work has presented the dynamic classifications of extreme doubly stochastic quadratic operators (EDSQOs) on finite-dimensional simplex (FDS) based on the limit behaviour of the trajectories. The limit behaviour of the trajectories of EDSQOs, on FDS is either in state of convergence, or fixed or periodic. This paper aimed at examining the behaviour of these states. The paper modelled the states and proves theoretically the characteristics of each state. The results indicate that convergence operators converge to the centre (1/m), and EDSQOs point are fixed with two or more points whereas periodic states exhibit ...
We study the dynamics of extreme doubly stochastic quadratic operators (d.s.q.o.) on two dimensional...
In this study, the problem of stochastic consensus in multi-agent systems of non-linear dynamical ag...
Historically, an idea of reaching consensus through repeated averaging was introduced by DeGroot (se...
Consensus problems in multi agent systems (MAS) are theoretical aspect convergence of doubly stochas...
Multi agent systems and consensus problems represents the theoretical aspect of Quadratic Stochastic...
We investigate a novel nonlinear consensus from the extreme points of doubly stochastic quadratic op...
This paper proposes nonlinear operator of extreme doubly stochastic quadratic operator (EDSQO) for c...
This paper presents a linear and nonlinear stochastic distribution for the interactions in multi-age...
This paper proposed doubly stochastic quadratic operators (DSQOs) for a consensus problem in multi-A...
In this paper, we consider nonlinear models of DeGroot, quadratic stochastic operators (QSO) and dou...
This article explores nonlinear convergence to limit the effects of the consensus problem that usua...
Multi agent systems and consensus problems are theoretical aspect of Quadratic Stochastic Operators ...
This paper evaluates the limit behavior for symmetry interactions networks of set points for nonline...
The scope of this research is DSQO in order to generate models that will be applied for the consen...
A finite-time consensus protocol is proposed for multi-dimensional multi-agent systems, using direct...
We study the dynamics of extreme doubly stochastic quadratic operators (d.s.q.o.) on two dimensional...
In this study, the problem of stochastic consensus in multi-agent systems of non-linear dynamical ag...
Historically, an idea of reaching consensus through repeated averaging was introduced by DeGroot (se...
Consensus problems in multi agent systems (MAS) are theoretical aspect convergence of doubly stochas...
Multi agent systems and consensus problems represents the theoretical aspect of Quadratic Stochastic...
We investigate a novel nonlinear consensus from the extreme points of doubly stochastic quadratic op...
This paper proposes nonlinear operator of extreme doubly stochastic quadratic operator (EDSQO) for c...
This paper presents a linear and nonlinear stochastic distribution for the interactions in multi-age...
This paper proposed doubly stochastic quadratic operators (DSQOs) for a consensus problem in multi-A...
In this paper, we consider nonlinear models of DeGroot, quadratic stochastic operators (QSO) and dou...
This article explores nonlinear convergence to limit the effects of the consensus problem that usua...
Multi agent systems and consensus problems are theoretical aspect of Quadratic Stochastic Operators ...
This paper evaluates the limit behavior for symmetry interactions networks of set points for nonline...
The scope of this research is DSQO in order to generate models that will be applied for the consen...
A finite-time consensus protocol is proposed for multi-dimensional multi-agent systems, using direct...
We study the dynamics of extreme doubly stochastic quadratic operators (d.s.q.o.) on two dimensional...
In this study, the problem of stochastic consensus in multi-agent systems of non-linear dynamical ag...
Historically, an idea of reaching consensus through repeated averaging was introduced by DeGroot (se...