Minyue Fu

Reinforcement Learning-Based Output Feedback LQR for Continuous-Time MIMO Systems

Qihua Chen, Mingxiang Liu, Lili Wang, Zhiyun Lin et autres

This article studies model-free output feedback linear quadratic regulation (LQR) for continuous-time linear systems with an $n$-dimensional state, an $m$-dimensional input, and a $p$-dimensional output, using filtered input--output data. Since the system state is unavailable, existing methods rely on dynamic filters to …

Transformer-Kalman fusion for monocular 3D surgical instrument localization

Yuqi Zhao, Mingxiang Liu, Jiani Tan, Minyue Fu

Innovation-Based Stealthy Attacks on Remote State Estimators Using the Wasserstein Distance

Chen Wang, Tianju Sui, Damián Marelli, Xi‐Ming Sun et autres

We study the problem of designing an attacking strategy for a remote state estimator of a linear Gaussian cyber-physical system. We focus on an innovation-based attack on a scenario in which a smart sensor transmits innovations via a wireless communication network. We …

cn (code pays fourni par la source)

EKF-enhanced hybrid visual servoing with deep perception for autonomous endoscope control in robotic surgery

Jiani Tan, Mingxiang Liu, Yuqi Zhao, Minyue Fu

In robot-assisted minimally invasive surgery (MIS), precise automatic control of the endoscope is crucial for maintaining optimal visualization. Regarding the additional burden imposed on surgeons due to manual adjustment of the field of vision, as well as the unstable perception caused by …

cn (code pays fourni par la source)

Q -Learning Approach to Finite-Horizon H ∞ Tracking With Partial Observation

Mingxiang Liu, Qianqian Cai, Wei Meng, D. Li et autres

This article investigates the finite-horizon $H_{\infty } $ tracking control problem for discrete-time (DT) linear systems with partial observation and unknown dynamics from a game-theoretic perspective. Unlike existing reinforcement learning (RL) approaches that primarily address infinite-horizon, time-invariant systems with full state information, …

cn (code pays fourni par la source)

Cart-Pole System: Practical Deployment of Model-Based Control Versus Reinforcement Learning

Qihua Chen, Mingxiang Liu, Minyue Fu

This paper compares the classical model-based approach and reinforcement learning (RL) approach for nonlinear systems with known structures but unknown parameters, which represents a wide class of engineered control systems. The study is based on a benchmark cart-pole system involving both swing-up …

cn (code pays fourni par la source)

A Zonotopic Disturbance Observer and Fully Actuated System Framework for Fault-Tolerant Control of Discrete-Time Uncertain Nonlinear Systems

Weijie Ren, Guang‐Ren Duan, Minyue Fu, He Kong

This paper presents a fault-tolerant control (FTC) strategy for discrete-time uncertain nonlinear systems by integrating a set-based observer with the fully actuated system (FAS) framework. Traditional approaches often estimate unknown actuator faults as deterministic point values, which overlook the effects of bounded …

cn (code pays fourni par la source)

An Online Cross-Layer DoS Defense Strategy for Multi-Channel Switched Systems With Non-Weighted $l_{2}$-Gain

Liheng Wan, Panshuo Li, Qianqian Cai, Renquan Lu et autres

cn (code pays fourni par la source)

Local Community Detection in Complex Networks: A Brief Survey and an Algorithm Based on Identifying High-Quality Core Region

Qianqian Cai, Tong Wang, Mali Xing, Yanyan Ye et autres

Community detection is capable of uncovering the inherent structure and functional organization within complex networks by analyzing multi-scale topological features. According to the brief survey, local detection methods demonstrate notable strengths, but challenges persist in selecting suitable seeds, identifying community cores, and …

cn (code pays fourni par la source)

Improved filter bank common spatial pattern algorithm based on the sparrow search algorithm

Yingyu Cao, Jihui Ding, Zhenxi Zhao, Yongzheng He et autres

Introduction: The application of motor imagery in human-computer interaction and rehabilitative medicine has attracted growing attention due to recent advances in brain-computer interface technologies. However, traditional EEG decoding paradigms based on fixed frequency-band segmentation often exhibit limited performance because they fail to …

cn (code pays fourni par la source)

Functional tongue reconstruction using innervated TDAP versus ALT free flaps: a retrospective paired-cohort study

Fan Hong Wu, Xin Tao Xia, Chuandong Zhu, Minyue Fu et autres

OBJECTIVES: To compare the postoperative complications, speech function, quality of life (QoL), overall clinical outcomes and flap volume loss of tongue reconstruction using anterolateral thigh (ALT) versus innervated-thoracodorsal artery perforator (iTDAP) flaps following hemiglossectomy for tongue squamous cell carcinoma (TSCC). MATERIALS AND …

cn (code pays fourni par la source)

Measuring dynamic air quality in clean operating rooms using three methods: a prospective study

Minyue Fu, Ying Zhang, Jin Hu, Ming Lei et autres

BACKGROUND: perating rooms (ORs) are critical environments where air quality directly impacts surgical site infection (SSI) rates. AIM: To characterise dynamics of airborne contamination and identify risk factors in operating rooms during surgery. METHODS: A prospective observational study was conducted in three …

cn (code pays fourni par la source)