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20132023
most citedOptimization of the -norm of Dynamic Flow Networks

3 citations · 7 across the 6 of their papers we have counts for

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Showing 2017Show all

8 papers · 1 filter

math.OC2017

Asymptotic and finite-time almost global attitude tracking: representations free approach

Jieqiang Wei, Christos Verginis, Junfeng Wu +3

In this paper, the attitude tracking problem is considered using the rotation matrices. Due to the inherent topological restriction, it is impossible to achieve global attractivity…

math.OC2017★ 3 cited

Optimization of the -norm of Dynamic Flow Networks

Alexander Johansson, Jieqiang Wei, Henrik Sandberg +2

In this paper, we study the -norm of linear systems over graphs, which is used to model distribution networks. In particular, we aim to minimize the -norm subje…

math.OC2017

Finite-time attitude synchronization with distributed discontinuous protocols

Jieqiang Wei, Silun Zhang, Antonio Adaldo +3

The finite-time attitude synchronization problem is considered in this paper, where the rotation of each rigid body is expressed using the axis-angle representation. Two discontinu…

math.OC2017

Finite-time Consensus Protocols for Multi-dimensional Multi-agent Systems

Jieqiang Wei, Bart Besselink, Junfeng Wu +2

Two finite-time consensus protocols are proposed for multi-dimensional multi-agent systems, using direction-preserving and component-wise signum controls respectively. Filippov sol…

math.OC2017

On the modeling of neural cognition for social network applications

Jieqiang Wei, Junfeng Wu, Marco Molinari +2

In this paper, we study neural cognition in social network. A stochastic model is introduced and shown to incorporate two well-known models in Pavlovian conditioning and social net…

math.OC2017

Finite-time attitude synchronization with a discontinuous protocol

Jieqiang Wei, Silun Zhang, Antonio Adaldo +2

A finite-time attitude synchronization problem is considered in this paper where the rotation of each rigid body is expressed using the axis-angle representation. One simple discon…