1 citations · 1 across the 7 of their papers we have counts for
7 papers
Lower Bound of Networked Control with Multiple Sensors and One Controller And The Application to Tracking Gaussian-Markov Source
Sijie Li, Takashi Tanaka, Hyeji Kim
This paper investigates the causal rate-distortion function for networked control systems with multiple encoders and a single decoder, a longstanding open problem in information an…
L1 Optimal Control of Continuous-Time Stochastic Positive Systems
Alba Gurpegui, Takashi Tanaka, Anders Rantzer
We present an L1-optimal control problem class with linear nonnegative costs subject to multiplicative Itô diffusion processes with elementwise linear input constraints. Forward in…
Rate-Distortion Analysis of Optically Passive Vision Compression
Ronald Ogden, David Fridovich-Keil, Takashi Tanaka
The use of remote vision sensors for autonomous decision-making poses the challenge of transmitting high-volume visual data over resource-constrained channels in real-time. In robo…
Relative Entropy Regularized Reinforcement Learning for Efficient Encrypted Policy Synthesis
Jihoon Suh, Yeongjun Jang, Kaoru Teranishi +1
We propose an efficient encrypted policy synthesis to develop privacy-preserving model-based reinforcement learning. We first demonstrate that the relative-entropy-regularized rein…
Efficient Implementation of Reinforcement Learning over Homomorphic Encryption
Jihoon Suh, Takashi Tanaka
We investigate encrypted control policy synthesis over the cloud. While encrypted control implementations have been studied previously, we focus on the less explored paradigm of pr…
Covert Vehicle Misguidance and Its Detection: A Hypothesis Testing Game over Continuous-Time Dynamics
Takashi Tanaka, Kenji Sawada, Yohei Watanabe +1
We formulate a stochastic zero-sum game over continuous-time dynamics to analyze the competition between the attacker, who tries to covertly misguide the vehicle to an unsafe regio…
Minimum Bitrate Neuromorphic Encoding for Continuous-Time Gauss-Markov Processes
Travis Cuvelier, Ronald Ogden, Takashi Tanaka
In this work, we study minimum data rate tracking of a dynamical system under a neuromorphic event-based sensing paradigm. We begin by bridging the gap between continuous-time (CT)…