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Model Predictive Path-Following Framework for Generalized N-Trailer Vehicles in the Presence of Dynamic Obstacles Modeled as Soft Constraints IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-18 Nestor Nahuel Deniz, Fernando Auat Cheein
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Fast Probabilistic Energy Flow Calculation for Natural Gas Systems: A Convex Multiparametric Programming Approach IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-18 Wenhao Jia, Tao Ding, Yi Yuan, Hongji Zhang
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Robust Task Allocations by Distributing the Risk Among Agents: Theory and Algorithms IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-17 Raunak Sengupta, Rakesh Nagi, Ramavarapu S. Sreenivas
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A Lightweight Integrated Positioning System With Occlusion-Aware Region-Based Pose Tracking for Oral and Maxillofacial Surgery IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-17 Dongyue Li, Yaoqing Hu, Shaoan Wang, Mingzhu Zhu, Fusong Yuan, Junzhi Yu
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Robust Neural Dynamics for Depth Maintenance Tracking Control of Robot Manipulators With Uncertainty and Perturbation IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-17 Dechao Chen, Yifan Shao, Zhengwen Chen, Shuai Li
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Teacher-Student Collaboration: Effective Semi-Supervised Model for Defect Instance Segmentation IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-17 Biaohua Ye, Jianhuang Lai, Xiaohua Xie
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Event-Triggered $H_{\infty}$ Tracking Control for Dynamic Artificial Neural Network Models With Time-Varying Delays IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-17 Zi-Jie Wei, Kun-Zhi Liu, Peng-Fei Liu, Xi-Ming Sun
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Synthesis of Opacity-Enforcing Supervisory Strategies Using Reinforcement Learning IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-17 Huimin Zhang, Li Huang, Wanling Huang, Lei Feng, Xianxian Li
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SDD-DETR: Surface Defect Detection for No-Service Aero-Engine Blades With Detection Transformer IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-17 Xiangkun Sun, Kechen Song, Xin Wen, Yanyan Wang, Yunhui Yan
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Dynamic Event-Triggered Adaptive Fixed-Time Practical Tracking Control for Nonlinear Systems Through Funnel Function IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-17 Yudi Wang, Guangdeng Zong
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Robust LPV System Identification With Skewed and Asymmetric Measurement Noise IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-17 Xin Liu, Yang Hai, Wei Dai
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An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-17 Kishu Gupta, Deepika Saxena, Pooja Rani, Jitendra Kumar, Aaisha Makkar, Ashutosh Kumar Singh, Chung-Nan Lee
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Enhancing Networked Control System Resilience to TCP/IP Protocol DoS Attacks: Performance Analysis and Intelligent Controller Design IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-13 Xiao Cai, Yanbin Sun, Kaibo Shi, Xiangpeng Xie, Yeng Chai Soh, Cheng Qiao, Zhihong Tian
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Noninvasive EEG-Based Intelligent Mobile Robots: A Systematic Review IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-12 Hongqi Li, Xiaoya Li, José del R. Millán
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Conflict-Free Routing of Twin Reclaimers in the Stockyard Based on a Time-Space Network Model IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-12 Jianbin Xin, Chang Liu, Andrea D’Ariano, Shi Qiang Liu, Jing Liang
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Leveraging Transfer Learning for Data Augmentation in Fault Diagnosis of Imbalanced Time-Frequency Images IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-11 Xiaoyu Jiang, Junhua Zheng, Ziyi Chen, Zhiqiang Ge, Zhihuan Song, Xiaoguang Ma
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Tractable Data-Driven Model Predictive Control Using One-Step Neural Networks Predictors IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-11 Danilo Menegatti, Alessandro Giuseppi, Antonio Pietrabissa
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Guiding the Last Centimeter: Novel Anatomy-Aware Probe Servoing for Standardized Imaging Plane Navigation in Robotic Lung Ultrasound IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-10 Xihan Ma, Mingjie Zeng, Jeffrey C. Hill, Beatrice Hoffmann, Ziming Zhang, Haichong K. Zhang
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Multisynchronization of Coupled Multistable Neural Networks via Event-Triggered Impulsive Control and Its Application to Associative Memory IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-10 Yang Liu, Zhen Wang, Xia Huang, Hao Shen
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Adaptive Critic Control With Knowledge Transfer for Uncertain Nonlinear Dynamical Systems: A Reinforcement Learning Approach IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-09 Liangju Zhang, Kun Zhang, Xiang Peng Xie, Mohammed Chadli
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Performance Analysis of Bernoulli Serial Lines With Small Batch Production and Machine Switch On/Off Control IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-09 Zhiyang Jia, Xiuxuan Tian, Zunjun Wang, Gang Wang
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Finite-Time Fault-Tolerant Consensus of UAVs: A Switching Event-Triggered Fuzzy Control Scheme IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-05 Hongjing Liang, Lei Chen, Xinsong Yang, Tingwen Huang
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Guided Bayesian Optimization: Data-Efficient Controller Tuning With Digital Twin IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-05 Mahdi Nobar, Jürg Keller, Alisa Rupenyan, Mohammad Khosravi, John Lygeros
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Self-Evolving Hermite Fuzzy Neural Fractional-Order Sliding Mode Control of MEMS Gyroscope IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-04 Juntao Fei, Jiapeng Xie
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Efficient Reinforcement Learning Method for Multi-Phase Robot Manipulation Skill Acquisition via Human Knowledge, Model-Based, and Model-Free Methods IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-04 Xing Liu, Zihao Liu, Gaozhao Wang, Zhengxiong Liu, Panfeng Huang
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Activator-Based Economical Distributed Fault-Tolerant Control Against Possible Actuator Outages With Guaranteed Performance IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-04 Xueyan Xing, Guoqiang Hu, Yingchong Ma, Rahul Singh
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Sampled-Data Connectivity-Preserving Consensus for Multiple Heterogeneous Euler-Lagrange Systems IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-04 Chen Chen, Xingyu Gao, Haiying Zhang, Wencheng Zou, Zhengrong Xiang
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Toward Cognitive Digital Twin System of Human–Robot Collaboration Manipulation IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-04 Xin Li, Bin He, Zhipeng Wang, Yanmin Zhou, Gang Li, Xiang Li
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Finite-Time Distributed Optimization in Unbalanced Multiagent Networks: Fractional-Order Dynamics, Disturbance Rejection, and Chatter Avoidance IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-04 Ping Gong, Qing-Guo Wang, Choon Ki Ahn
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Occlusion Segmentation: Restore and Segment Invisible Areas for Particle Objects IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-09-04 Jinshi Liu, Zhaohui Jiang, Weihua Gui, Zhiwen Chen, Chaobo Zhang
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Security Performance of MOSMLFC Power System Under Historical-Frequency-Triggered DoS Attacks IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-30 Siwei Qiao, Xinghua Liu, Gaoxi Xiao, Meng Zhang, Yu Kang, Shuzhi Sam Ge
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Adaptive Tracking Control for Uncertain Nonlinear Multi-Agent Systems With Partially Sensor Attack IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-30 Guangliang Liu, Qiuye Sun, Hanguang Su, Zhijian Hu
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A Self-Learning Memetic Algorithm for Human–Robot Collaboration Scheduling in Energy-Efficient Distributed Mixed Fuzzy Welding Shop IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-30 Fei Yu, Chao Lu, Lvjiang Yin, Biao Zhang
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Generation & Clinical Validation of Individualized Gait Trajectory for Stroke Patients Based on Lower Limb Exoskeleton Robot IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-29 Shisheng Zhang, Yang Zhang, Mengbo Luan, Ansi Peng, Jing Ye, Gong Chen, Chenglong Fu, Yuquan Leng, Xinyu Wu
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Lexicographic Dual-Objective Path Finding in Multi-Agent Systems IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-27 Ziyan Zhao, Siyi Li, Shixin Liu, MengChu Zhou, Xingyang Li, Xiaochun Yang
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Adaptive Neural Prescribed Performance Control for Non-Triangular Structural Stochastic Highly Nonlinear Systems Under Hybrid Attacks IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-27 Zhechen Zhu, Quanxin Zhu
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Recursive Learning Based Smart Energy Management With Two-Level Dynamic Pricing Demand Response IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-27 Huifeng Zhang, Jiapeng Huang, Dong Yue, Xiangpeng Xie, Zhijun Zhang, Gerhard P. Hancke
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Novel Adaptive Global Observer-Based Sliding Mode Control of a 2-DOF Piezoelectric Nanopositioning System IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-27 Liheng Chen, Zehao Wu, Qingsong Xu
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A Time-Delay Modeling Approach for Data-Driven Predictive Control of Continuous-Time Systems IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-26 Juan Liu, Xindi Yang, Hao Zhang, Zhuping Wang, Huaicheng Yan
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Adaptive Fuzzy Iterative Learning Control of Constrained Systems With Arbitrary Initial State Errors and Unknown Control Gain IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-26 Huihui Shi, Qiang Chen, Yihuang Hong, Xianhua Ou, Xiongxiong He
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Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-26 Xinhao Yan, Guanzhong Zhou, Daniel E. Quevedo, Carlos Murguia, Bo Chen, Hailong Huang
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Configuration Optimization of a Dual-Arm Reconfigurable Space Robot Based on Closed-Chain Inertia Matching IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-23 Zhihui Xue, Jinguo Liu, Yangmin Li, Junsen Liu
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A Fixed-Time Consensus Control With Prescribed Performance for Multi-Agent Systems Under Full-State Constraints IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-22 Shangbin Long, Weicong Huang, Jianhui Wang, Jiarui Liu, Yixiang Gu, Zian Wang
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Set Stabilization and Robust Set Stabilization of Periodically Time-Varying Boolean Control Networks IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-22 Meiling Su, Peilian Guo
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Nonlinear MPC on Parallel Parking for Autonomous Vehicles Under State-Dependent Switching IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-22 Hai Zhao, Hongjiu Yang, Zhengyu Wang, Yuanqing Xia
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A Two-Stage Method for Building Evacuation With Discrete Time Model IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-21 Yuandong Zhang, Qiaozhu Zhai, Zhanbo Xu, Jiang Wu, Xiaohong Guan
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$H_{\infty}$ Control for Interconnected Systems With Unknown System Dynamics: A Two-Stage Reinforcement Learning Method IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-21 Jinxu Liu, Hao Shen, Jing Wang, Jinde Cao, Leszek Rutkowski
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Optimal Gait Planning and Thruster Force Allocation for Rough Terrain Climbing of an Underwater Hexapod Robot IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-20 Lepeng Chen, Rongxin Cui, Weisheng Yan, Yang Li, Kaiyang Xu
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Pose Estimation of Instruments for Automatic Chemical Laboratories Using Multi-Level Template Matching IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-20 Xuchun Zhang, Fei Zhang, Xinsheng Tang, Qing Zhu, Luyuan Zhao, Hengyu Xiao, Shuang Cong, Jun Jiang, Weiwei Shang
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Distributed Filter Under Homologous Sensor Attack and Its Application in GPS Meaconing Attack IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-19 Yukun Shi, Wenjing He, Li Liang, Youqing Wang
This study investigates the state estimation problem of multi-agent systems under a homologous sensor attack. A distributed filter is proposed to achieve a minimum variance unbiased (MVU) estimation of system states and attacks in the presence of measurement noise. A gain matrix selection method for implementing the MVU estimation is also provided. The proposed filter can be used for positioning corrections
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Output Feedback With Feedforward Robust Control for Motion Systems Driven by Nonlinear Position-Dependent Actuators IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-19 Mohammad Al Saaideh, Almuatazbellah M. Boker, Mohammad Al Janaideh
This paper introduces a control approach for a motion system driven by a class of actuators with multiple nonlinearities. The proposed approach presents a combination of a feedforward controller and an output feedback controller to achieve a tracking performance of the motion system. The feedforward controller is mainly proposed to address the actuator dynamics and provide a linearization without requiring
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Controllers for Multiagent Systems With Input Amplitude and Rate Constraints and Their Application to Quadrotor Rendezvous IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-19 Gang Wang, Zongyu Zuo, Peng Li, Yantao Shen
This paper addresses the consensus issue of multiagent systems with both input amplitude and rate constraints. We propose simple yet effective distributed control algorithms that integrate a velocity damping term with nonlinear saturated functions for both undirected and directed graphs. Leveraging the interplay between Barbalat’s lemma and graph theory, we show that all agents can achieve consensus
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Multiscale Global Prompt Transformer for EEG-Based Driver Fatigue Recognition IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-04-01 Pengbo Zhao, Cheng Lian, Bingrong Xu, Zhigang Zeng
Driver fatigue is a critical factor that lead to traffic accidents with a high fatality rate. Electroencephalogram (EEG) is one of the most reliable indicators to objectively assess fatigue status, but recognizing fatigue driving status from it is still an essential and challenging problem. In this paper, we propose a multiscale global prompt Transformer (MsGPT) deep learning model, which can automatically
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A Composite High-Speed and High-Precision Positioning Approach for Dual-Drive Gantry Stage IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-04-01 Weichao Sun, Jianing Liu, Huijun Gao
As an important part of the motion system in high-end manufacturing equipment, dual-drive gantry stage urgently requires higher performance. Planar rapid positioning is a classical application of the gantry stage, while unmodeled dynamics, coupled dynamics of mechanism, and conflict between rapidity and precision bring many difficulties into controller design. In this article, a coupled dynamic model
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A Hierarchical Multi-Action Deep Reinforcement Learning Method for Dynamic Distributed Job-Shop Scheduling Problem With Job Arrivals IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-04-01 Jiang-Ping Huang, Liang Gao, Xin-Yu Li
The Distributed Job-shop Scheduling Problem (DJSP) is a significant issue in both academic and industrial fields. In real-world production, uncertain disturbances such as job arrivals are inevitable. In the paper, the DJSP with job arrivals is addressed with a Multi-action Deep Reinforcement Learning (MDRL) method. Firstly, a multi-action Markov Decision Process (MDP) is formulated, where a hierarchical
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Adaptive Fuzzy Resilient Fixed-Time Bipartite Consensus Tracking Control for Nonlinear MASs Under Sensor Deception Attacks IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-04-01 Ben Niu, Zihao Shang, Guangju Zhang, Wendi Chen, Huanqing Wang, Xudong Zhao, Ding Wang
This paper studies the adaptive fuzzy resilient fixed-time bipartite consensus tracking control problem for a class of nonlinear multi-agent systems (MASs) under sensor deception attacks. Firstly, in order to reduce the impact of unknown sensor deception attacks on the nonlinear MASs, a novel coordinate transformation technique is proposed, which is composed of the states after being attacked. Then
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Anti-Unmanned Directional Drive-Off Method Under Integrated Navigation Mode IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-04-01 Yan Guo, Juliang Cao, Kanghua Tang, Kaixin Luo, Xingshou Geng
To realize the defense task of precise directional drive off of unmanned combat system in the target area, an anti-unmanned directional drive-off method under SINS(Strapdown Inertial Navigation System)/GPS(Global Positioning System) integrated navigation mode is proposed in this paper, which is suitable for the security defense of important places, urban public security protection and anti-terrorism
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Robust Attitude Control With Fixed Exponential Rate of Convergence and Consideration of Motor Dynamics for Tilt Quadrotor Using Quaternions IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-03-29 Sathyanarayanan Seshasayanan, Souradip De, Soumya Ranjan Sahoo
In the existing literature on the robust control design of UAV systems, the controllers are designed without considering motor dynamics. Hence, if these controller gains are not correctly tuned, the system undergoes oscillation and may even go unstable. We have demonstrated this through an experiment in this work. Here, we propose a novel control strategy that considers actuator parameter uncertainties
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Motion Planning for Aerial Pick-and-Place With Geometric Feasibility Constraints IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-03-29 Huazi Cao, Jiahao Shen, Cunjia Liu, Bo Zhu, Shiyu Zhao
This paper studies the motion planning problem of the pick-and-place of an aerial manipulator that consists of a quadcopter flying base and a Delta arm. We propose a novel partially decoupled motion planning framework to solve this problem. Compared to the state-of-the-art approaches, the proposed one has two novel features. First, it does not suffer from increased computation in high-dimensional configuration
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Mode Substitution and Constraint Implementation in Complex Dynamic Process Regulation: A Solution for Performance Self-Recovery IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-03-29 Peihao Du, Weimin Zhong, Xin Peng, Linlin Li
With the increase of wastewater treatment volume and the insufficiency of preventive maintenance measures, the potential safety hazards of wastewater treatment process (WWTP) are gradually emerging. The unplanned sensor failures may result in false information feedback and reduce the reliability of the control system. This paper attempts to formulate a working mode substitution-based performance self-recovery