IEEE/CAA Journal of Automatica Sinica

A Hierarchical Stochastic Network Approach for Fault Diagnosis of Complex Industrial Processes

Mingjie Lv, Yonggang Li, Huanzhi Gao, Bei Sun, Keke Huang, Chunhua Yang, Weihua Gui

, Available online , doi: 10.1109/JAS.2025.125249

[Abstract](3) [FullText HTML] (0) [PDF 22219KB](0)

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Complex industrial processes present typical uncertainty due to fluctuations in the composition of raw materials and frequently changing operating conditions. This poses three challenges for precise fault diagnosis, including random noise interference, less distinguishability between multi-class fau...

Evolutionary Algorithm Based on Surrogate and Inverse Surrogate Models for Expensive Multiobjective Optimization

Qi Deng, Qi Kang, MengChu Zhou, Xiaoling Wang, Shibing Zhao, Siqi Wu, Mohammadhossein Ghahramani

, Available online

[Abstract](21) [FullText HTML] (0) [PDF 1686KB](4)

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When dealing with expensive multiobjective optimization problems, majority of existing surrogate-assisted evolutionary algorithms (SAEAs) generate solutions in decision space and screen candidate solutions mostly by using designed surrogate models. The generated solutions exhibit excessive randomnes...

MEET: A Million-Scale Dataset for Fine-Grained Geospatial Scene Classification With Zoom-Free Remote Sensing Imagery

Yansheng Li, Yuning Wu, Gong Cheng, Chao Tao, Bo Dang, Yu Wang, Jiahao Zhang, Chuge Zhang, Yiting Liu, Xu Tang, Jiayi Ma, Yongjun Zhang

, Available online , doi: 10.1109/JAS.2025.125324

[Abstract](119) [FullText HTML] (0) [PDF 60927KB](38)

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Accurate fine-grained geospatial scene classification using remote sensing imagery is essential for a wide range of applications. However, existing approaches often rely on manually zooming remote sensing images at different scales to create typical scene samples. This approach fails to adequately s...

A Game-Theoretic Approach to Solving the Roman Domination Problem

Xiuyang Chen, Changbing Tang, Zhao Zhang, Guanrong Chen

, Available online , doi: 10.1109/JAS.2023.123840

[Abstract](68) [FullText HTML] (0) [PDF 2230KB](13)

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The Roman domination problem is an important combinatorial optimization problem that is derived from an old story of defending the Roman Empire and now regains new significance in cyber space security, considering backups in the face of a dynamic network security requirement. In this paper, firstly,...

A Recursive Method to Encryption-Decryption-Based Distributed Set-Membership Filtering for Time-Varying Saturated Systems Over Sensor Networks

Jun Hu, Jiaxing Li, Chaoqing Jia, Xiaojian Yi, Hongjian Liu

, Available online

[Abstract](4) [FullText HTML] (0) [PDF 486KB](1)

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Cooperation Under Stochastic Punishment in Social Dilemma Situations

Shiping Gao, Jinghui Suo, Nan Li

, Available online

[Abstract](3) [FullText HTML] (0) [PDF 459KB](0)

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Full Perception Head: Bridging the Gap Between Local and Global Features

Jie Hua, Zhongyuan Wang, Xin Tian, Qin Zou, Jinsheng Xiao, Jiayi Ma

, Available online , doi: 10.1109/JAS.2025.125333

[Abstract](9) [FullText HTML] (0) [PDF 40820KB](3)

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Object detection is a fundamental task in computer vision that involves identifying and localizing objects within an image. In this context, local features capture fine-grained details such as edges and textures, while global features represent the overall structure and long-range relationships with...

Correlation-Guided Particle Swarm Optimization Approach for Feature Selection in Fault Diagnosis

Ke Chen, Wenjie Wang, Fangfang Zhang, Jing Liang, Kunjie Yu

, Available online , doi: 10.1109/JAS.2025.125306

[Abstract](102) [FullText HTML] (0) [PDF 1821KB](28)

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A large number of features are involved in fault diagnosis, and it is challenging to identify important and relative features for fault classification. Feature selection selects suitable features from the fault dataset to determine the root cause of the fault. Particle swarm optimization (PSO) has s...

Federated Services: A Smart Service Ecology With Federated Security for Aligned Data Supply and Scenario-Oriented Demands

Xiaofeng Jia, Juanjuan Li, Shouwen Wang, Hongwei Qi, Fei-Yue Wang, Rui Qin, Min Zhang, Xiaolong Liang

, Available online

[Abstract](19) [FullText HTML] (0) [PDF 2847KB](5)

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This paper introduces federated services as a smart service ecology with federated security to align distributed data supply with diversified service demands spanning digital and societal contexts. It presents the comprehensive researches on the theoretical foundation and technical system of federat...

Unified Output Feedback Based Prescribed Performance Consensus Tracking Control of Heterogeneous Multi-Agent Systems

Dahui Luo, Yujuan Wang, Frank L. Lewis, Yongduan Song

, Available online , doi: 10.1109/JAS.2024.125094

[Abstract](29) [FullText HTML] (0) [PDF 1788KB](20)

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This paper proposes an output-feedback based prescribed performance consensus tracking control methodology for a class of heterogeneous multi-agent systems (HMASs) with inconsistent system structure, where the performance behavior is allowed to be different from that of each other. Both the heteroge...

An Interpretable Temporal Convolutional Framework for Granger Causality Analysis

Aoxiang Dong, Andrew Starr, Yifan Zhao

, Available online , doi: 10.1109/JAS.2025.125396

[Abstract](30) [FullText HTML] (0) [PDF 4978KB](9)

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Most existing parametric approaches for detecting linear or nonlinear Granger causality (GC) face challenges in estimating appropriate time delays, a critical factor for accurate GC detection. This issue becomes particularly pronounced in nonlinear complex systems, which are often opaque and consist...

Precision Synchronous Control of Multiple Motion Systems: A Tube-Based MPC Approach

Shuaiqi Chen, Fazhi Song, Yue Dong, Ning Cui, Yang Liu, Xinkai Chen

, Available online

[Abstract](20) [FullText HTML] (0) [PDF 3380KB](5)

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Lithography machines operate in scanning mode for the fabrication of large-scale integrated circuits (ICs), requiring high-precision synchronous motion between the reticle and wafer stages. Disturbances generated by each stage during high-acceleration movements are transmitted through the base frame...

CSDD: A Benchmark Dataset for Casting Surface Defect Detection and Segmentation

Kai Mao, Ping Wei, Yangyang Wang, Meiqin Liu, Shuaijie Wang, Nanning Zheng

, Available online

[Abstract](24) [FullText HTML] (0) [PDF 33247KB](1)

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Automatic surface defect detection is a critical technique for ensuring product quality in industrial casting production. While general object detection techniques have made remarkable progress over the past decade, casting surface defect detection still has considerable room for improvement. Lack o...

Finite-Time Sliding-Mode Control for Semi-Markov Systems With Delayed Impulses

Fangmin Ren, Xiaoping Wang, Yangmin Li, Zhigang Zeng

, Available online , doi: 10.1109/JAS.2024.125004

[Abstract](52) [FullText HTML] (0) [PDF 530KB](25)

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Reinforcement Learning-Based Spectral Performance Optimization for UAV-Assisted MIMO Communication System

Lu Dong, Hong-wei Kong, Xin Yuan

, Available online , doi: 10.1109/JAS.2025.125225

[Abstract](28) [FullText HTML] (0) [PDF 1000KB](16)

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Release Power of Mechanism and Data Fusion: A Hierarchical Strategy for Enhanced MIQ-Related Modeling and Fault Detection in BFIP

Siwei Lou, Chunjie Yang, Zhe Liu, Shaoqi Wang, Hanwen Zhang, Ping Wu

, Available online , doi: 10.1109/JAS.2024.124821

[Abstract](141) [FullText HTML] (0) [PDF 18699KB](43)

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Data-driven techniques are reshaping blast furnace iron-making process (BFIP) modeling, but their “black-box” nature often obscures interpretability and accuracy. To overcome these limitations, our mechanism and data co-driven strategy (MDCDS) enhances model transparency and molten iron quality (MIQ...

Prescribed Performance Bipartite Consensus Control for MASs Under Data-Driven Strategy

Qi Zhou, Caiyun Yin, Hui Ma, Hongru Ren, Hongyi Li

, Available online

[Abstract](19) [FullText HTML] (0) [PDF 1355KB](15)

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This paper investigates the bipartite consensus control problem for discrete time nonlinear multiagent systems (MASs) based on data-driven adaptive method. To begin with, a dynamic linearization strategy is utilized to establish the relationship between bipartite tracking error and control input for...

Multi-Agent Swarm Optimization With Contribution-Based Cooperation for Distributed Multi-Target Localization and Data Association

Tai-You Chen, Xiao-Min Hu, Qiuzhen Lin, Wei-Neng Chen

, Available online , doi: 10.1109/JAS.2025.125150

[Abstract](33) [FullText HTML] (0) [PDF 1876KB](7)

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With the development of communication and computation capabilities on terminal hardware, it is promising to apply distributed optimization methods to wireless sensor networks to improve the autonomous collaboration ability of sensors. In this work, we study distributed optimization for multi-target ...

The Confluence of Evolutionary Computation and Multi-Agent Systems: A Survey

Tai-You Chen, Wei-Neng Chen, Feng-Feng Wei, Xiao-Qi Guo, Wen-Xiang Song, Rui Zhu, Qiuzhen Lin, Jun Zhang

, Available online , doi: 10.1109/JAS.2025.125246

[Abstract](61) [FullText HTML] (0) [PDF 1981KB](19)

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Both evolutionary computation (EC) and multi-agent systems (MAS) study the emergence of intelligence through interaction and cooperation of a group of individuals. EC focuses on solving various complex optimization problems, while MAS provides a flexible model for distributed artificial intelligence...

Optimization Algorithms Based on Double-Integral Coevolutionary Neurodynamics in Deep Learning

Dan Su, Jie Han, Chunhua Yang, Weihua Gui

, Available online , doi: 10.1109/JAS.2025.125210

[Abstract](20) [FullText HTML] (0) [PDF 4137KB](5)

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Deep neural networks are increasingly exposed to attack threats, and at the same time, the need for privacy protection is growing. As a result, the challenge of developing neural networks that are both robust and capable of strong generalization while maintaining privacy becomes pressing. Training n...

A Transactional-Behavior-Based Hierarchical Gated Network for Credit Card Fraud Detection

Yu Xie, MengChu Zhou, Guanjun Liu, Honghao Zhu, Lifei Wei, Pasquale De Meo

, Available online , doi: 10.1109/JAS.2025.125243

[Abstract](53) [FullText HTML] (0) [PDF 10000KB](10)

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The task of detecting fraud in credit card transactions is crucial to ensure the security and stability of a financial system, as well as to enforce customer confidence in digital payment systems. Historically, credit card companies have used rule-based approaches to detect fraudulent transactions, ...

Data-Driven Two-Stage Robust Optimization Allocation and Loading for Salt Lake Chemical Enterprise Products Under Demand Uncertainty

Yiyin Tang, Yalin Wang, Chenliang Liu, Qingkai Sui, Yishun Liu, Keke Huang, Weihua Gui

, Available online , doi: 10.1109/JAS.2025.125204

[Abstract](18) [FullText HTML] (0) [PDF 4114KB](2)

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Most enterprises rely on railway transportation to deliver their products to customers, particularly in the salt lake chemical industry. Notably, allocating products to freight spaces and their assembly on transport vehicles are critical pre-transportation processes. However, due to demand fluctuati...

A Survey of Distributed Algorithms for Aggregative Games

Huaqing Li, Jun Li, Liang Ran, Lifeng Zheng, Tingwen Huang

, Available online , doi: 10.1109/JAS.2024.124998

[Abstract](49) [FullText HTML] (0) [PDF 983KB](10)

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Game theory-based models and design tools have gained substantial prominence for controlling and optimizing behavior within distributed engineering systems due to the inherent distribution of decisions among individuals. In non-cooperative settings, aggregative games serve as a mathematical framewor...

Text2UA: Automatic OPC UA Information Modeling from Textual Data with Large Language Model

Rongkai Wang, Chaojie Gu, Shibo He, Jiming Chen

, Available online , doi: 10.1109/JAS.2025.125114

[Abstract](43) [FullText HTML] (0) [PDF 8118KB](5)

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Applications of Domain Generalization to Machine Fault Diagnosis: A Survey

Yongyi Chen, Dan Zhang, Ruqiang Yan, Min Xie

, Available online , doi: 10.1109/JAS.2025.125120

[Abstract](63) [FullText HTML] (0) [PDF 2647KB](15)

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In actual industrial scenarios, the variation of operating conditions, the existence of data noise, and failure of measurement equipment will inevitably affect the distribution of perceptive data. Deep learning-based fault diagnosis algorithms strongly rely on the assumption that source and target d...

Adaptive Dual-Loop Disturbance Observer-based Robust Model Predictive Tracking Control for Autonomous Hypersonic Vehicles

Runqi Chai, Tianhao Liu, Shaoming He, Kaiyuan Chen, Yuanqing Xia, Hyo-Sang Shin, Antonios Tsourdos

, Available online , doi: 10.1109/JAS.2025.125291

[Abstract](28) [FullText HTML] (0) [PDF 4083KB](8)

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To solve the attitude trajectory tracking problem for hypersonic vehicles in the presence of system constraints and unknown disturbances, this paper designed a nonlinear robust model predictive control (RMPC) scheme, which can produce near-optimal tracking commands. Unlike the existing designs, the ...

Adaptive Fault-Tolerant Consensus Tracking Control for Nonlinear Multi-Agent Systems With Double Semi-Markovian Switching Topologies and Unknown Control Directions

Chao Zhou, Zehui Mao, Bin Jiang, Xing-Gang Yan

, Available online , doi: 10.1109/JAS.2025.125285

[Abstract](41) [FullText HTML] (0) [PDF 1845KB](15)

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This paper is concerned with adaptive consensus tracking control of nonlinear multi-agent systems with actuator faults and unknown nonidentical control directions under double semi-Markovian switching topologies. Considering the complex working environment and the stability differences in communicat...

A Decision Variables Classification-Based Evolutionary Algorithm for Constrained Multi-Objective Optimization Problems

Xuanxuan Ban, Jing Liang, Kangjia Qiao, Kunjie Yu, Yaonan Wang, Jinzhu Peng, Boyan Qu

, Available online , doi: 10.1109/JAS.2025.125276

[Abstract](59) [FullText HTML] (0) [PDF 18219KB](18)

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Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better address CMOPs and achieve a balance between objectives and constraints, existing constrained multi-objective ev...

Distributed Event-Triggered Nash Equilibrium Seeking for Aggregative Game With Second-Order Dynamics

Yi Huang, Jian Sun, Qing Fei

, Available online , doi: 10.1109/JAS.2024.124830

[Abstract](62) [FullText HTML] (0) [PDF 447KB](18)

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Neural Adaptive Sliding-Mode Control of Vehicular Cyber-Physical Systems With Uniformly Quantized Communication Data and Disturbances

Yuan Zhao, Mengchao Li, Zhongchang Liu, Lichuan Liu, Shixi Wen, Lei Ding

, Available online , doi: 10.1109/JAS.2025.125186

[Abstract](30) [FullText HTML] (0) [PDF 3255KB](23)

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This paper investigates the platoon control of heterogeneous vehicular cyber-physical systems (VCPSs) subject to external disturbances by using neural network and uniformly quantized communication data. To reduce the adverse effects of quantization errors on system performance, a coupling sliding mo...

Multi-UAV Cooperative Pursuit Strategy With Limited Visual Field in Urban Airspace: A Multi-Agent Reinforcement Learning Approach

Zhe Peng, Guohua Wu, Biao Luo, Ling Wang

, Available online , doi: 10.1109/JAS.2024.124965

[Abstract](35) [FullText HTML] (0) [PDF 8179KB](13)

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The application of multiple unmanned aerial vehicles (UAVs) for the pursuit and capture of unauthorized UAVs has emerged as a novel approach to ensuring the safety of urban airspace. However, pursuit UAVs necessitate the utilization of their own sensors to proactively gather information from the una...

Path Following Control of Uncertain and Underactuated Autonomous Surface Vessels

Yang Wu, Yueying Wang, Zhiguang Feng, Xiangpeng Xie

, Available online , doi: 10.1109/JAS.2024.124713

[Abstract](119) [FullText HTML] (0) [PDF 585KB](50)

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Innovations and Refinements in LiDAR Odometry and Mapping: A Comprehensive Review

Guangjie Liu, Kai Huang, Xiaolan Lv, Yuanhao Sun, Hailong Li, Xiaohui Lei, Quanchun Yuan, Lei Shu

, Available online , doi: 10.1109/JAS.2025.125198

[Abstract](153) [FullText HTML] (0) [PDF 14486KB](33)

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Since its introduction in 2014, the LiDAR odometry and mapping (LOAM) algorithm has become a cornerstone in the fields of autonomous driving and intelligent robotics. LOAM provides robust support for autonomous navigation in complex dynamic environments through precise localization and environmental...

Online Estimation of DC-link Capacitor Para-meters of Three-Level NPC Converters Using Inherent Signals Analysis

Ricardo Lucio de Araujo Ribeiro, Reuben Palmer Rezende de Sousa, Alexandre Cunha Oliveira, Antonio Marcus Nogueira Lima, Qing-Long Han

, Available online , doi: 10.1109/JAS.2025.125159

[Abstract](40) [FullText HTML] (1) [PDF 2036KB](11)

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This paper presents a method for estimating the parameters of DC-link capacitors in three-level NPC voltage source inverters (3L-NPC-VSI) used in grid-tied systems. The technique uses the signals generated by the intermodulation caused by the PWM strategy and converter topology interaction to estima...

A Survey on Rough Feature Selection: Recent Advances and Challenges

Keyu Liu, Xibei Yang, Weiping Ding, Hengrong Ju, Tianrui Li, Jie Wang, Tengyu Yin

, Available online , doi: 10.1109/JAS.2025.125231

[Abstract](101) [FullText HTML] (0) [PDF 2521KB](31)

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Advances in data acquisition and accumulation on a massive scale are fueling “the curse of dimensionality” which may deteriorate the generalization performance of machine learning models. Such a dilemma gives birth to the technique of feature selection excelling in the presence of high-dimensional d...

Efficient Knowledge-guided Self-evolving Intelligent Behavioral Control for Autonomous Vehicles

Qiao Peng, Kailong Liu, Jingda Wu, Amir Khajepour

, Available online , doi: 10.1109/JAS.2024.124746

[Abstract](35) [FullText HTML] (0) [PDF 715KB](7)

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KT-RC: Kernel Time-Delayed Reservoir Computing for Time Series Prediction

Heshan Wang, Mengmeng Chen, Kunjie Yu, Jing Liang, Zhaomin Lv, Zhong Zhang

, Available online , doi: 10.1109/JAS.2024.124986

[Abstract](71) [FullText HTML] (0) [PDF 9327KB](24)

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Reservoir computing (RC) is an efficient recurrent neural network (RNN) method. However, the performance and prediction results of traditional RCs are susceptible to several factors, such as their network structure, parameter setting, and selection of input features. In this study, we employ a kerne...

LTDNet: A Lightweight Text Detector for Real-Time Arbitrary-Shape Traffic Text Detection

Runmin Wang, Yanbin Zhu, Ziyu Zhu, Lingxin Cui, Zukun Wan, Anna Zhu, Yajun Ding, Shengyou Qian, Changxin Gao, Nong Sang

, Available online , doi: 10.1109/JAS.2024.125022

[Abstract](105) [FullText HTML] (0) [PDF 14194KB](26)

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Traffic text detection plays a vital role in understanding traffic scenes. Traffic text, a distinct subset of natural scene text, faces specific challenges not found in natural scene text detection, including false alarms from non-traffic text sources, such as roadside advertisements and building si...

An Emulation Approach to Semi-Global Robust Output Regulation for a Class of Nonlinear Uncertain Systems

Jieshuai Wu, Maobin Lu, Fang Deng, Jie Chen

, Available online , doi: 10.1109/JAS.2024.125085

[Abstract](65) [FullText HTML] (0) [PDF 1184KB](16)

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In this paper, we investigate the semi-global robust output regulation problem of a class of nonlinear networked control systems. By the emulation approach, we propose a class of sampled-data output feedback control laws to solve this problem. In particular, we first develop a general sampled-data d...

Instance by Instance: An Iterative Framework for Multi-Instance 3D Registration

Jiaqi Yang, Xinyue Cao, Xiyu Zhang, Yuxin Cheng, Zhaoshuai Qi, Siwen Quan

, Available online , doi: 10.1109/JAS.2024.125058

[Abstract](29) [FullText HTML] (0) [PDF 27956KB](2)

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Multi-instance registration is a challenging problem in computer vision and robotics, where multiple instances of an object need to be registered in a standard coordinate system. Pioneers followed a non-extensible one-shot framework, which prioritizes the registration of simple and isolated instance...

Bearings-Only Target Motion Analysis Via Deep Reinforcement Learning

Chengyi Zhou, Meiqin Liu, Senlin Zhang, Ronghao Zheng, Shanling Dong

, Available online

[Abstract](33) [FullText HTML] (0) [PDF 334KB](6)

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A Homotopy Method for Continuous-Time Model-Free LQR Control Based on Policy Iteration

Wenwu Fan, Junlin Xiong

, Available online , doi: 10.1109/JAS.2025.125132

[Abstract](64) [FullText HTML] (0) [PDF 1038KB](17)

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In recent years, reinforcement learning control theory has been well developed. However, model-free value iteration needs many iterations to achieve the desired precision, and model-free policy iteration requires an initial stabilizing control policy. It is significant to propose a fast model-free a...

An Intelligent Optimization Strategy for Blast Furnace Charging Operation Considering Three-Dimensional Burden Surface Shape

Jicheng Zhu, Zhaohui Jiang, Dong Pan, Haoyang Yu, Chuan Xu, Ke Zhou, Weihua Gui

, Available online , doi: 10.1109/JAS.2025.125192

[Abstract](101) [FullText HTML] (0) [PDF 4132KB](26)

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Today, a well-devised charging operation scheme is urgently needed by on-site workmen and is critical for building an intelligent blast furnace (BF). Previous research on charging operations always focused on the two-dimensional shape of the burden surface (i.e., a single radial profile) while negle...

Camera Planning for Physical Safety of Outdoor Electronic Devices: Perspective and Analysis

Qin Su, Lei Shu, Gerhard Petrus Hancke, Kai Huang, Edmond Nurellari, Qingsong Zhao, Nikumani Choudhury, Anakhi Hazarika

, Available online , doi: 10.1109/JAS.2025.125129

[Abstract](132) [FullText HTML] (0) [PDF 2265KB](26)

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Camera technology advancement and deployment continue to play a vital role in modern life and production, amongst other capabilities, generating relevant visual information. The challenge of optimizing the use and deployment of camera networks in various applications (e.g., surveillance, traffic mon...

Comprehensive Dynamic Model of Vertical Pneumatic Bellows Actuator System Considering Bidirectional Asymmetric Hysteresis

Huai Xiao, Xuzhi Lai, Qingxin Meng, Jinhua She, Edwardo F. Fukushima, Min Wu

, Available online , doi: 10.1109/JAS.2025.125162

[Abstract](42) [FullText HTML] (0) [PDF 4366KB](6)

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The complex nonlinear characteristics of pneumatic soft actuators, such as asymmetric hysteresis, rate-dependence, and mechanical load-dependence, pose a challenge in accurately modeling their dynamics. To address this challenge, this paper proposes a comprehensive dynamic model aimed at describing ...

Self-cumulative Contrastive Graph Clustering

Xiaoqiang Yan, Kun Deng, Quan Zou, Zhen Tian, Hui Yu

, Available online , doi: 10.1109/JAS.2024.125025

[Abstract](78) [FullText HTML] (1) [PDF 1455KB](24)

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Contrastive graph clustering (CGC) has become a prominent method for self-supervised representation learning by contrasting augmented graph data pairs. However, the performance of CGC methods critically depends on the choice of data augmentation, which usually limits the capacity of network generali...

CRDet: An Artificial Intelligence-Based Framework for Automated Cheese Ripeness Assessment From Digital Images

Alessandra Perniciano, Luca Zedda, Cecilia Di Ruberto, Barbara Pes, Andrea Loddo

, Available online , doi: 10.1109/JAS.2024.125061

[Abstract](85) [FullText HTML] (0) [PDF 5395KB](25)

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Assessing cheese quality and ripeness is a crucial challenge in the dairy industry, with significant implications for product quality, consumer satisfaction, and economic impact. Traditional evaluation methods relying on visual inspection and human expertise are susceptible to errors and time constr...

Event-Triggered Adaptive Horizon DMPC for Discrete-Time Coupled Nonlinear Systems

Rui Guo, Jianwen Feng, Jingyi Wang, Yi Zhao

, Available online , doi: 10.1109/JAS.2024.124704

[Abstract](50) [FullText HTML] (0) [PDF 643KB](14)

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Deep Reinforcement Learning for Zero-Shot Coverage Path Planning With Mobile Robots

José Pedro Carvalho, A. Pedro Aguiar

, Available online , doi: 10.1109/JAS.2024.125064

[Abstract](237) [FullText HTML] (0) [PDF 1606KB](78)

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The ability of mobile robots to plan and execute a path is foundational to various path-planning challenges, particularly Coverage Path Planning. While this task has been typically tackled with classical algorithms, these often struggle with flexibility and adaptability in unknown environments. On t...

FDTs: A Feature Disentangled Transformer for Interpretable Squamous Cell Carcinoma Grading

Pan Huang, Xin Luo

, Available online

[Abstract](140) [FullText HTML] (0) [PDF 6689KB](22)

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Global Sampled-Data Output Feedback Stabilization for Nonlinear Systems via Intermittent Hold

Le Chang, Cheng Fu, Huanjun Zhang

, Available online

[Abstract](86) [FullText HTML] (0) [PDF 1318KB](33)

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This paper introduces a sampled-data and intermittent-hold controller for nonlinear feedforward systems. The intermittent hold allows the control signal to be held in a portion of each sampled period, which does not require the control to be persistently implemented, and thus has less control time. ...

Fixed-Time Stability of Random Nonlinear Systems

Fuyong Wang, Jiayi Gong, Zhongxin Liu, Fei Chen

, Available online , doi: 10.1109/JAS.2024.124353

[Abstract](75) [FullText HTML] (0) [PDF 471KB](16)

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Hazard-Aware Weighted Advantage Combination for UAV Target Tracking and Obstacle Avoidance

Lele Xu, Jian Liu, Xiaoguang Chang, Xuping Liu, Changyin Sun

, Available online , doi: 10.1109/JAS.2024.124920

[Abstract](106) [FullText HTML] (0) [PDF 4176KB](24)

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In recent years, the rapid evolution of unmanned aerial vehicles (UAVs) has brought about transformative changes across various industries. However, addressing fundamental challenges in UAV technology, particularly target tracking and obstacle avoidance, remains crucial for wildlife protection, mili...

DoS Attack Schedules for Remote State Estimation in CPSs with two-hop relay networks Under Round-Robin Protocol

Shuo Zhang, Lei Miao, Xudong Zhao

, Available online , doi: 10.1109/JAS.2024.124755

[Abstract](68) [FullText HTML] (0) [PDF 369KB](18)

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Convex Optimization-Based Model Predictive Control for Mars Ascent Vehicle Guidance System

Kun Li, Yanning Guo, Guangtao Ran, Yueyong Lyu, Guangfu Ma

, Available online , doi: 10.1109/JAS.2024.124587

[Abstract](58) [FullText HTML] (0) [PDF 486KB](15)

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Improving Control Performance by Cascading Observers: Case of ADRC With Cascade ESO

Ahmed T.-E. Benyahia, Momir Stanković, Rafal Madonski, Oluleke Babayomi, Stojadin M. Manojlović

, Available online , doi: 10.1109/JAS.2024.124995

[Abstract](101) [FullText HTML] (0) [PDF 3229KB](30)

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In this paper, we show the performance benefits of connecting multiple observers within a control system. We focus here on a particular observer-based control approach, namely the active disturbance rejection control (ADRC) with cascade extended state observer (ESO). For this framework, we analyze t...

A Learning-Based Passive Resilient Controller for Cyber-Physical Systems: Countering Stealthy Deception Attacks and Complete Loss of Actuators Control Authority

Liang Xin, Zhi-Qiang Long

, Available online , doi: 10.1109/JAS.2024.124683

[Abstract](128) [FullText HTML] (0) [PDF 2804KB](26)

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Cyber-physical systems (CPSs) are increasingly vulnerable to cyber-attacks due to their integral connection between cyberspace and the physical world, which is augmented by Internet connectivity. This vulnerability necessitates a heightened focus on developing resilient control mechanisms for CPSs. ...

SILIC: Intelligent On/Off Control for Networked Solar Insecticidal Lamps

Heyang Yao, Lei Shu, Yuli Yang, Miguel Martínez-García, Wei Lin

, Available online

[Abstract](130) [FullText HTML] (0) [PDF 1873KB](20)

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The solar insecticidal lamp (SIL) is an innovative green control device. Nevertheless, a major challenge is often encountered when carrying out insecticidal work is low energy utilization efficiency. The substantial energy consumption required to turn on the SIL, coupled with the extension of insect...

From Singleton to Collaboration: Robust 3D Cooperative Positioning for Intelligent Connected Vehicles Based on Hybrid Range-Azimuth-Elevation Under Zero-Trust Driving Environments

Zhenyuan Zhang, Heng Qin, Darong Huang, Xin Fang, Mu Zhou, Shenghui Guo

, Available online

[Abstract](253) [FullText HTML] (0) [PDF 9820KB](60)

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Reliable and accurate cooperative positioning is vital to intelligent connected vehicles (ICVs), in which vehicle-vehicle relative measurements are integrated to provide stable location-aware services. However, in zero-trust autonomous driving environments, the possibility of measurement failures an...

Nonlinear Integral-Ameliorated Model for Dynamic Convex Optimization With Perturbance Considered

Kangze Zheng, Yunong Zhang

, Available online

[Abstract](50) [FullText HTML] (0) [PDF 8944KB](8)

Abstract:
This work presents a nonlinear integral-ameliorated model for handling dynamic optimization problems with affine constraints. They pose a challenge as their optimal solutions evolve with time. Traditional iteration-based methods that exactly solve the problem at each time instant, fail to precisely ...

Joint Super-Resolution and Nonuniformity Correction Model for Infrared Light Field Images Based on Frequency Correlation Learning

You Du, Yong Ma, Jun Huang, Xiaoguang Mei, Jinhui Qin, Fan Fan

, Available online , doi: 10.1109/JAS.2024.124881

[Abstract](141) [FullText HTML] (0) [PDF 30190KB](20)

Abstract:
Super-resolution (SR) for the camera array-based infrared light field (IRLF) images aims to reconstruct high-resolution sub-aperture images (SAIs) from their low-resolution counterparts. Existing SR methods mainly focus on exploiting the spatial and angular information of SAIs and have achieved prom...

GT-A²T: Graph Tensor Alliance Attention Network

Ling Wang, Kechen Liu, Ye Yuan

, Available online , doi: 10.1109/JAS.2024.124863

[Abstract](119) [FullText HTML] (0) [PDF 592KB](29)

Abstract:

Fuzzy Prescribed-Time Control for Uncertain Nonlinear Pure Feedback Systems

Qidong Li, Changchun Hua, Kuo Li

, Available online , doi: 10.1109/JAS.2024.124848

[Abstract](94) [FullText HTML] (0) [PDF 1116KB](23)

Abstract:

Multi-Phase Degradation Modeling Based on Uncertain Random Process for Remaining Useful Life Prediction Under Triple Uncertainties

Xuerui Cao, Kaixiang Peng, Ruihua Jiao

, Available online

[Abstract](46) [FullText HTML] (0) [PDF 3338KB](8)

Abstract:
Due to abrupt changes in the intrinsic degradation mechanism or shock from external environmental pressure, degradations of some equipment are characterized by multi-phase and jumps. Meanwhile, equipment is subject to inherent fluctuations, limited data and imperfect measurements resulting in aleato...

Feature-Driven Variational Mesh Denoising

Jianbin Yang, Cong Wang, Hui Hou, Mingyuan Wang, Xuelong Li

, Available online , doi: 10.1109/JAS.2024.124923

[Abstract](37) [FullText HTML] (0) [PDF 1811KB](9)

Abstract:
This work elaborates an innovative mesh denoising approach that combines feature recovery and denoising in an alternating manner. It proposes a feature-driven variational model and introduces an iterative scheme that alternates between feature recovery and the denoising process. The main idea is to ...

Robust Pose Graph Optimization Against Outliers Using Consistency Credibility Factor

Jie Cai, Guoliang Wei, Wangyan Li, Yaolei Wang

, Available online , doi: 10.1109/JAS.2023.123897

[Abstract](63) [FullText HTML] (0) [PDF 513KB](7)

Abstract:

Federated Experiments: Generative Causal Inference Powered by LLM-based Agents Simulation and RAG-based Domain Docking

De-Yu Zhou, Xiao Xue, Qun Ma, Chao Guo, Li-Zhen Cui, Yong-Lin Tian, Jing Yang, Fei-Yue Wang

, Available online , doi: 10.1109/JAS.2024.124671

[Abstract](190) [FullText HTML] (0) [PDF 682KB](64)

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Data-Driven Iterative Learning Consensus Tracking Based on Robust Neural Models for Unknown Heterogeneous Nonlinear Multiagent Systems With Input Constraints

Chong Zhang, Yunfeng Hu, TingTing Wang, Xun Gong, Hong Chen

, Available online

[Abstract](88) [FullText HTML] (0) [PDF 409KB](21)

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Distributed Optimal Formation Control of Unmanned Aerial Vehicles: Theory and Experiments

Gang Wang, Zhenhong Wei, Peng Li

, Available online , doi: 10.1109/JAS.2024.124518

[Abstract](155) [FullText HTML] (0) [PDF 4081KB](47)

Abstract:

Non-Singular Practical Fixed-time Prescribed Performance Adaptive Fuzzy Consensus Control for Multi-Agent Systems Based on an Observer

Chi Ma, Dianbiao Dong

, Available online , doi: 10.1109/JAS.2024.124428

[Abstract](140) [FullText HTML] (0) [PDF 2534KB](52)

Abstract:
In this paper, the problem of non-singular fixed-time control with prescribed performance is studied for multi-agent systems characterized by uncertain states, nonlinearities, and non-strict feedback. To mitigate the nonlinearity, a fuzzy logic algorithm is applied to approximate the intrinsic dynam...

Set-Valued State Estimation of Nonlinear Discrete-Time Systems and Its Application to Attack Detection

Hao Liu, Qing-Long Han, Yuzhe Li

, Available online

[Abstract](153) [FullText HTML] (0) [PDF 1560KB](35)

Abstract:
This paper investigates set-valued state estimation of nonlinear systems with unknown-but-bounded (UBB) noises based on constrained polynomial zonotopes which is utilized to characterize non-convex sets. First, properties of constrained polynomial zonotopes are provided and the order reduction metho...