8 citations · 9 across the 4 of their papers we have counts for
6 papers
Static Output Feedback Synthesis of Time-Delay Linear Systems via Deep Unfolding
Masaki Ogura, Koki Kobayashi, Kenji Sugimoto
We propose a deep unfolding-based approach for stabilization of time-delay linear systems. Deep unfolding is an emerging framework for design and improvement of iterative algorithm…
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
Behavioral cloning (BC) bears a high potential for safe and direct transfer of human skills to robots. However, demonstrations performed by human operators often contain noise or i…
Finite-time Control of Discrete-time Positive Linear Systems via Convex Optimization
Chengyan Zhao, Masaki Ogura, Kenji Sugimoto
In this paper, we study a class of finite-time control problems for discrete-time positive linear systems with time-varying state parameters. Although several interesting control p…
TAdam: A Robust Stochastic Gradient Optimizer
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
Machine learning algorithms aim to find patterns from observations, which may include some noise, especially in robotics domain. To perform well even with such noise, we expect the…
Mixed Control Control of Delayed Markov Jump Linear Systems
Wenjie Mei, Chengyan Zhao, Masaki Ogura +1
This paper investigates state feedback control laws for Markov jump linear systems with state and mode-observation delays. An assumption in this study is that the delay of mode obs…
Model predictive control for energy-efficient operation of data centers with cold aisle containments
Masaki Ogura, Jianxiong Wan, Shoji Kasahara
In this paper, we study a problem of controlling cooling facilities and computational equipments for energy-efficient operations of data centers. Although a plethora of approaches…