Ieee-Caa Journal of Automatica Sinica最新文献_第8页

An Online Exploratory Maximum Likelihood Estimation Approach to Adaptive Kalman Filtering 一种自适应卡尔曼滤波的在线探索性极大似然估计方法

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-12-24 DOI: 10.1109/JAS.2024.125001

Jiajun Cheng;Haonan Chen;Zhirui Xue;Yulong Huang;Yonggang Zhang

{"title":"An Online Exploratory Maximum Likelihood Estimation Approach to Adaptive Kalman Filtering","authors":"Jiajun Cheng;Haonan Chen;Zhirui Xue;Yulong Huang;Yonggang Zhang","doi":"10.1109/JAS.2024.125001","DOIUrl":"https://doi.org/10.1109/JAS.2024.125001","url":null,"abstract":"Over the past few decades, numerous adaptive Kalman filters (AKFs) have been proposed. However, achieving online estimation with both high estimation accuracy and fast convergence speed is challenging, especially when both the process noise and measurement noise covariance matrices are relatively inaccurate. Maximum likelihood estimation (MLE) possesses the potential to achieve this goal, since its theoretical accuracy is guaranteed by asymptotic optimality and the convergence speed is fast due to weak dependence on accurate state estimation. Unfortunately, the maximum likelihood cost function is so intricate that the existing MLE methods can only simply ignore all historical measurement information to achieve online estimation, which cannot adequately realize the potential of MLE. In order to design online MLE-based AKFs with high estimation accuracy and fast convergence speed, an online exploratory MLE approach is proposed, based on which a mini-batch coordinate descent noise covariance matrix estimation framework is developed. In this framework, the maximum likelihood cost function is simplified for online estimation with fewer and simpler terms which are selected in a mini-batch and calculated with a backtracking method. This maximum likelihood cost function is sidestepped and solved by exploring possible estimated noise covariance matrices adaptively while the historical measurement information is adequately utilized. Furthermore, four specific algorithms are derived under this framework to meet different practical requirements in terms of convergence speed, estimation accuracy, and calculation load. Abundant simulations and experiments are carried out to verify the validity and superiority of the proposed algorithms as compared with existing state-of-the-art AKFs.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"228-254"},"PeriodicalIF":15.3,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Time-Varying Formation Tracking Control of Heterogeneous Multi-Agent Systems With Intermittent Communications and Directed Switching Networks 具有间歇通信和定向交换网络的异构多智能体系统时变队形跟踪控制

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-12-24 DOI: 10.1109/JAS.2023.123924

Yuhan Wang;Zhuping Wang;Hao Zhang;Huaicheng Yan

引用次数: 0

Cas-FNE: Cascaded Face Normal Estimation Cas-FNE：级联人脸法线估计

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-11-21 DOI: 10.1109/JAS.2024.124899

Meng Wang;Jiawan Zhang;Jiayi Ma;Xiaojie Guo

{"title":"Cas-FNE: Cascaded Face Normal Estimation","authors":"Meng Wang;Jiawan Zhang;Jiayi Ma;Xiaojie Guo","doi":"10.1109/JAS.2024.124899","DOIUrl":"https://doi.org/10.1109/JAS.2024.124899","url":null,"abstract":"Capturing high-fidelity normals from single face images plays a core role in numerous computer vision and graphics applications. Though significant progress has been made in recent years, how to effectively and efficiently explore normal priors remains challenging. Most existing approaches depend on the development of intricate network architectures and complex calculations for in-the-wild face images. To overcome the above issue, we propose a simple yet effective cascaded neural network, called Cas-Fne, which progressively boosts the quality of predicted normals with marginal model parameters and computational cost. Meanwhile, it can mitigate the imbalance issue between training data and real-world face images due to the progressive refinement mechanism, and thus boost the generalization ability of the model. Specifically, in the training phase, our model relies solely on a small amount of labeled data. The earlier prediction serves as guidance for following refinement. In addition, our shared-parameter cascaded block employs a recurrent mechanism, allowing it to be applied multiple times for optimization without increasing network parameters. Quantitative and qualitative evaluations on benchmark datasets are conducted to show that our Cas-FNE can faithfully maintain facial details and reveal its superiority over state-of-the-art methods. The code is available at https://github.com/AutoHDR/CasFNE.git.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"11 12","pages":"2423-2434"},"PeriodicalIF":15.3,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis and Control of Frequency Stability in Low-Inertia Power Systems: A Review 低惯量电力系统分析与频率稳定控制：综述

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-11-20 DOI: 10.1109/JAS.2024.125013

Changjun He;Hua Geng;Kaushik Rajashekara;Ambrish Chandra

{"title":"Analysis and Control of Frequency Stability in Low-Inertia Power Systems: A Review","authors":"Changjun He;Hua Geng;Kaushik Rajashekara;Ambrish Chandra","doi":"10.1109/JAS.2024.125013","DOIUrl":"https://doi.org/10.1109/JAS.2024.125013","url":null,"abstract":"Power electronic-interfaced renewable energy sources (RES) exhibit lower inertia compared to traditional synchronous generators. The large-scale integration of RES has led to a significant reduction in system inertia, posing significant challenges for maintaining frequency stability in future power systems. This issue has garnered considerable attention in recent years. However, the existing research has not yet achieved a comprehensive understanding of system inertia and frequency stability in the context of low-inertia systems. To this end, this paper provides a comprehensive review of the definition, modeling, analysis, evaluation, and control for frequency stability. It commences with an exploration of inertia and frequency characteristics in low-inertia systems, followed by a novel definition of frequency stability. A summary of frequency stability modeling, analysis, and evaluation methods is then provided, along with their respective applicability in various scenarios. Additionally, the two critical factors of frequency control—energy sources at the system level and control strategies at the device level—are examined. Finally, an outlook on future research in low-inertia power systems is discussed.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"11 12","pages":"2363-2383"},"PeriodicalIF":15.3,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Consensus-Based Distributed Secondary Control of Microgrids: A Pre-Assigned Time Sliding Mode Approach 基于共识的微电网分布式二级控制：预分配时间滑动模式方法

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-11-20 DOI: 10.1109/JAS.2023.123891

Xiangyong Chen;Shunwei Hu;Xiangpeng Xie;Jianlong Qiu

引用次数: 0

From Plant Modeling to Narrative Science: Growing and Enjoying Scientific Fruits Naturally and Humanistically 从植物建模到叙事科学：自然和人文地种植和享受科学成果

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-11-20 DOI: 10.1109/JAS.2024.124959

Fei-Yue Wang

引用次数: 0

Human Observation-Inspired Universal Image Acquisition Paradigm Integrating Multi-Objective Motion Planning and Control for Robotics 受人类观察启发的通用图像采集范式，将多目标运动规划和控制集成到机器人技术中

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-11-20 DOI: 10.1109/JAS.2024.124512

Haotian Liu;Yuchuang Tong;Zhengtao Zhang

{"title":"Human Observation-Inspired Universal Image Acquisition Paradigm Integrating Multi-Objective Motion Planning and Control for Robotics","authors":"Haotian Liu;Yuchuang Tong;Zhengtao Zhang","doi":"10.1109/JAS.2024.124512","DOIUrl":"https://doi.org/10.1109/JAS.2024.124512","url":null,"abstract":"Image acquisition stands as a prerequisite for scrutinizing surfaces inspection in industrial high-end manufacturing. Current imaging systems often exhibit inflexibility, being confined to specific objects and encountering difficulties with diverse industrial structures lacking standardized computer-aided design (CAD) models or in instances of deformation. Inspired by the multidimensional observation of humans, our study introduces a universal image acquisition paradigm tailored for robotics, seamlessly integrating multi-objective optimization trajectory planning and control scheme to harness measured point clouds for versatile, efficient, and highly accurate image acquisition across diverse structures and scenarios. Specifically, we introduce an energy-based adaptive trajectory optimization (EBATO) method that combines deformation and deviation with dual-threshold optimization and adaptive weight adjustment to improve the smoothness and accuracy of imaging trajectory and posture. Additionally, a multi-optimization control scheme based on a meta-heuristic beetle antennal olfactory recurrent neural network (BAORNN) is proposed to track the imaging trajectory while addressing posture, obstacle avoidance, and physical constraints in industrial scenarios. Simulations, real-world experiments, and comparisons demonstrate the effectiveness and practicality of the proposed paradigm.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"11 12","pages":"2463-2475"},"PeriodicalIF":15.3,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Level Curve Tracking via Robust RL-Guided Model Predictive Control 通过鲁棒 RL 引导的模型预测控制实现电平曲线跟踪

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-11-20 DOI: 10.1109/JAS.2024.124350

Zhuo Li;Yunlong Guo;Gang Wang;Wei Chen

引用次数: 0

Disturbance Rejection for Systems with Uncertainties Based on Fixed-Time Equivalent-Input-Disturbance Approach 基于固定时间等效输入干扰法的不确定性系统干扰抑制方法

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-11-20 DOI: 10.1109/JAS.2024.124650

Qun Lu;Xiang Wu;Jinhua She;Fanghong Guo;Li Yu

引用次数: 0

Distributed Fixed-Time Optimal Energy Management for Microgrids Based on a Dynamic Event-Triggered Mechanism 基于动态事件触发机制的微电网分布式固定时间优化能源管理