Search Results for author: Hongye Su

Found 6 papers, 1 papers with code

Chaotic Masking Protocol for Secure Communication and Attack Detection in Remote Estimation of Cyber-Physical Systems

no code implementations14 Mar 2024 Tao Chen, Andreu Cecilia, Daniele Astolfi, Lei Wang, Zhitao Liu, Hongye Su

In remote estimation of cyber-physical systems (CPSs), sensor measurements transmitted through network may be attacked by adversaries, leading to leakage risk of privacy (e. g., the system state), and/or failure of the remote estimator.

Decentralized Zeno-Free Event-Triggered Control For Multiple Networks Subject to Stochastic Network Delays and Poisson Pulsing Attacks

no code implementations26 Jan 2024 Dandan Zhang, Sandra Hirche, Stefan Sosnowski, Xin Jin, Hongye Su

By designing the decentralized time-regularized (Zeno-free) event-triggered strategies for the state-feedback control law, this paper considers the stochastic stabilization of a class of networked control systems, where two sources of randomness exist in multiple decentralized networks that operate asynchronously and independently: the communication channels are constrained by the stochastic network delays and also by Poisson pulsing denial-of-service (Pp-DoS) attacks.

Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control

no code implementations5 Aug 2023 Runze Lin, Yangyang Luo, Xialai Wu, Junghui Chen, Biao Huang, Lei Xie, Hongye Su

The Organic Rankine Cycle (ORC) is widely used in industrial waste heat recovery due to its simple structure and easy maintenance.

reinforcement-learning Transfer Learning

A perspective on Attitude Control Issues and Techniques

no code implementations30 Jun 2022 Dandan Zhang, Xin Jin, Hongye Su

This paper reviews the attitude control problems for rigid-body systems, starting from the attitude representation for rigid body kinematics.

Stability Analysis for Stochastic Hybrid Inclusions

no code implementations29 Jun 2022 Dandan Zhang, Hongye Su

Basic sufficient conditions for stability/recurrence in probability are usually expressed based on different types of Lyapunov functions, including Lagrange/Lyapunov/Lyapunov-Forster functions respectively for Lagrange/Lyapunov/asymptotical stability in probability and Foster/Lagrange-Forster functions for recurrence, (weaker) relaxed Lyapunov-based sufficient conditions including Matrosov-Foster functions and the stochastic invariance principle, as well as Lyapunov-based necessary and sufficient conditions for asymptotical stability in probability or recurrence (i. e., converse theorems), etc.

Deep Domain Adversarial Adaptation for Photon-efficient Imaging

2 code implementations7 Jan 2022 YiWei Chen, Gongxin Yao, Yong liu, Hongye Su, Xiaomin Hu, Yu Pan

Photon-efficient imaging with the single-photon light detection and ranging (LiDAR) captures the three-dimensional (3D) structure of a scene by only a few detected signal photons per pixel.

Domain Adaptation

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