2 papers
eess.SY2020
Improving Rate of Convergence via Gain Adaptation in Multi-Agent Distributed ADMM Framework
Towfiq Rahman, Zhihua Qu, Toru Namerikawa
In this paper, the alternating direction method of multipliers (ADMM) is investigated for distributed optimization problems in a networked multi-agent system. In particular, a new…
eess.SY2019
Data-Driven Wide-Area Control Design of Power System Using the Passivity Shortage Framework
Ying Xu, Zhihua Qu, Roland Harvey +1
A novel wide-area control design is presented to mitigate inter-area power frequency oscillations. A large-scale power system is decomposed into a network of passivity-short subsys…