activity
20132015
most citedCompressive Sampling for Remote Control Systems

26 citations · 47 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2015

Reflective Network Tomography Based on Compressed Sensing

Kensuke Nakanishi, Shinsuke Hara, Takahiro Matsuda +3

Network tomography means to estimate internal link states from end-to-end path measurements. In conventional network tomography, to make packets transmissively penetrate a network,…

cs.NI2014

Synchronization-Free Delay Tomography Based on Compressed Sensing

Kensuke Nakanishi, Shinsuke Hara, Takahiro Matsuda +3

Delay tomography has so far burdened source and receiver measurement nodes in a network with two requirements such as path establishment and clock synchronization between them. In…

eess.SY2013★ 2 cited

Sparse Command Generator for Remote Control

Masaaki Nagahara, Daniel E. Quevedo, Jan Ostergaard +2

In this article, we consider remote-controlled systems, where the command generator and the controlled object are connected with a bandwidth-limited communication link. In the remo…

eess.SY2013★ 19 cited

Compressive Sampling for Networked Feedback Control

Masaaki Nagahara, Daniel E. Quevedo, Takahiro Matsuda +1

We investigate the use of compressive sampling for networked feedback control systems. The method proposed serves to compress the control vectors which are transmitted through rate…

eess.SY2013★ 26 cited

Compressive Sampling for Remote Control Systems

Masaaki Nagahara, Takahiro Matsuda, Kazunori Hayashi

In remote control, efficient compression or representation of control signals is essential to send them through rate-limited channels. For this purpose, we propose an approach of s…