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A feedback control algorithm to steer networks to a Cournot-Nash equilibrium
IEEE Transactions on Control of Network Systems ( IF 4.2 ) Pub Date : 2019-12-01 , DOI: 10.1109/tcns.2019.2897907
Claudio De Persis , Nima Monshizadeh

In this paper, we propose distributed feedback control that steers a dynamical network to a prescribed equilibrium corresponding to the so-called Cournot–Nash equilibrium. The network dynamics considered here are a class of passive nonlinear second-order systems, where production and demands act as external inputs to the systems. While productions are assumed to be controllable at each node, the demand is determined as a function of local prices according to the utility of the consumers. Using reduced information on the demand, the proposed controller guarantees the convergence of the closed-loop system to the optimal equilibrium point dictated by the Cournot–Nash competition.

中文翻译:

一种反馈控制算法,可将网络转向古诺-纳什均衡

在本文中,我们提出了分布式反馈控制,该控制将动态网络控制到与所谓的古诺-纳什均衡相对应的规定均衡。这里考虑的网络动力学是一类无源非线性二阶系统,其中生产和需求充当系统的外部输入。虽然假定每个节点的生产都是可控的,但根据消费者的效用,将需求确定为当地价格的函数。利用减少的需求信息,所提出的控制器可保证闭环系统收敛到古诺—纳什竞争所决定的最佳平衡点。
更新日期:2019-12-01
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