21 citations · 21 across the 4 of their papers we have counts for
4 papers
Safe Exploration Method for Reinforcement Learning under Existence of Disturbance
Yoshihiro Okawa, Tomotake Sasaki, Hitoshi Yanami +1
Recent rapid developments in reinforcement learning algorithms have been giving us novel possibilities in many fields. However, due to their exploring property, we have to take the…
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…
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…
A New Dynamic Pricing Model based on Convex Hull Pricing
Naoki Ito, Akiko Takeda, Toru Namerikawa
This paper presents a new dynamic pricing model (a.k.a. real-time pricing) that reflects startup costs of generators. Dynamic pricing, which is a method to control demand by pricin…