Search Results for author: Kiminao Kogiso

Found 11 papers, 0 papers with code

Secure Motion-Copying via Homomorphic Encryption

no code implementations17 Oct 2023 Haruki Takanashi, Kaoru Teranishi, Kiminao Kogiso

This study aims to develop an encrypted motion-copying system using homomorphic encryption for secure motion preservation and reproduction.

Encrypted Simultaneous Control of Joint Angle and Stiffness of Antagonistic Pneumatic Artificial Muscle Actuator by Polynomial Approximation

no code implementations9 Jun 2023 Yuta Takeda, Takaya Shin, Kaoru Teranishi, Kiminao Kogiso

First, a novel simultaneous control system design is considered for the joint angle and stiffness of a PAM actuator in a model-based design approach, facilitating the use of an encrypted control method.

Optimal Security Parameter for Encrypted Control Systems Against Eavesdropper and Malicious Server

no code implementations23 Mar 2023 Kaoru Teranishi, Kiminao Kogiso

A sample identifying complexity and a sample deciphering time have been introduced in a previous study to capture an estimation error and a computation time of system identification by adversaries.

Cyber-Secure Teleoperation With Encrypted Four-Channel Bilateral Control

no code implementations27 Feb 2023 Haruki Takanashi, Akane Kosugi, Kaoru Teranishi, Toru Mizuya, Kenichi Abe, Kiminao Kogiso

The experimental results demonstrate that the developed bilateral control system can facilitate encrypted communication and controller, synchronize the posture, and feed the reaction force back.

Robot Manipulation

Optimal Controller and Security Parameter for Encrypted Control Systems Under Least Squares Identification

no code implementations23 Feb 2023 Kaoru Teranishi, Kiminao Kogiso

This study investigates an optimal design of encrypted control systems when facing an attack attempting to estimate a system parameter by the least squares method from the perspective of the security level.

Towards Provably Secure Encrypted Control Using Homomorphic Encryption

no code implementations17 Oct 2022 Kaoru Teranishi, Kiminao Kogiso

Additionally, cryptography does not consider certain types of attacks on encrypted control systems; therefore, the security of such a system cannot be guaranteed using a secure cryptosystem.

Mathematical Proofs

Sample Identifying Complexity of Encrypted Control Systems Under Least Squares Identification

no code implementations17 Oct 2022 Kaoru Teranishi, Kiminao Kogiso

The proposed complexity is characterized by a controllability Gramian and ratio of identification input variance to the noise variance.

Input-Output History Feedback Controller for Encrypted Control with Leveled Fully Homomorphic Encryption

no code implementations22 Sep 2021 Kaoru Teranishi, Tomonori Sadamoto, Kiminao Kogiso

Protecting the parameters, states, and input/output signals of a dynamic controller is essential for securely outsourcing its computation to an untrusted third party.

Sensor-less Angle and Stiffness Control of Antagonistic PAM Actuator Using Reference Set

no code implementations6 May 2021 Takaya Shin, Kiminao Kogiso

This paper proposes a simultaneous control method for the angle and stiffness of the joint in an antagonistic pneumatic artificial muscle (PAM) actuator system using only pressure measurements, and clarifies the allowable references for the PAM actuator system.

Designing Optimal Key Lengths and Control Laws for Encrypted Control Systems based on Sample Identifying Complexity and Deciphering Time

no code implementations26 Apr 2021 Kaoru Teranishi, Tomonori Sadamoto, Aranya Chakrabortty, Kiminao Kogiso

Based on these two tractable new notions, we propose a systematic method for designing the both of an optimal key length to prevent system identification with a given precision within a given life span of systems, and of an optimal controller to maximize both of the control performance and the difficulty of the identification.

Relation

Detailed Dynamic Model of Antagonistic PAM System and its Experimental Validation: Sensor-less Angle and Torque Control with UKF

no code implementations19 Sep 2020 Takaya Shin, Takumi Ibayashi, Kiminao Kogiso

This study proposes a detailed nonlinear mathematical model of an antagonistic pneumatic artificial muscle (PAM) actuator system for estimating the joint angle and torque using an unscented Kalman filter (UKF).

Friction

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