IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans最新文献_第4页

Data-Driven Output-Feedback LQ Secure Control for Unknown Cyber-Physical Systems Against Sparse Actuator Attacks 未知网络物理系统抗稀疏致动器攻击的数据驱动输出反馈LQ安全控制

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-09-01 DOI: 10.1109/TSMC.2019.2957146

Xin-Yu Shen, Xiaojian Li

引用次数: 15

DeSIRe: Deep Signer-Invariant Representations for Sign Language Recognition DeSIRe:用于手语识别的深度符号不变表示

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-09-01 DOI: 10.1109/TSMC.2019.2957347

P. Ferreira, Diogo Pernes, Ana Rebelo, Jaime S. Cardoso

{"title":"DeSIRe: Deep Signer-Invariant Representations for Sign Language Recognition","authors":"P. Ferreira, Diogo Pernes, Ana Rebelo, Jaime S. Cardoso","doi":"10.1109/TSMC.2019.2957347","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2957347","url":null,"abstract":"As a key technology to help bridging the gap between deaf and hearing people, sign language recognition (SLR) has become one of the most active research topics in the human–computer interaction field. Although several SLR methodologies have been proposed, the development of a real-world SLR system is still a very challenging task. One of the main challenges is related to the large intersigner variability that exists in the manual signing process of sign languages. To address this problem, we propose a novel end-to-end deep neural network that explicitly models highly discriminative signer-independent latent representations from the input data. The key idea of our model is to learn a distribution over latent representations, conditionally independent of signer identity. Accordingly, the learned latent representations will preserve as much information as possible about the signs, and discard signer-specific traits that are irrelevant for recognition. By imposing such regularization in the representation space, the result is a truly signer-independent model which is robust to different and new test signers. The experimental results demonstrate the effectiveness of the proposed model in several SLR databases.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"11 1","pages":"5830-5845"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86205261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Model Predictive Control-Based Depth Control in Gliding Motion of a Gliding Robotic Dolphin 基于模型预测控制的机器人海豚滑翔运动深度控制

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-09-01 DOI: 10.1109/TSMC.2019.2956531

Jian Wang, Zhengxing Wu, Min Tan, Junzhi Yu

引用次数: 19

RBFNN-Based Adaptive Iterative Learning Fault-Tolerant Control for Subway Trains With Actuator Faults and Speed Constraint 基于rbfnn的执行器故障及速度约束地铁列车自适应迭代学习容错控制

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-09-01 DOI: 10.1109/TSMC.2019.2957299

Genfeng Liu, Z. Hou

{"title":"RBFNN-Based Adaptive Iterative Learning Fault-Tolerant Control for Subway Trains With Actuator Faults and Speed Constraint","authors":"Genfeng Liu, Z. Hou","doi":"10.1109/TSMC.2019.2957299","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2957299","url":null,"abstract":"In this article, a radial basis function neural network-based adaptive iterative learning fault-tolerant control (RBFNN-AILFTC) algorithm is developed for subway trains subject to the time-iteration-dependent actuator faults and speed constraint by using the multiple-point-mass dynamic model. First, the RBFNN is utilized to approximate the time-iteration-dependent unknown nonlinearity of the subway train system; then, the iterative learning mechanism is used to tackle the outstanding repetitive operational pattern of a subway train which runs from one station to the next strictly according to the operation timetable schedule every day within the finite time interval, and the adaptive mechanism is designed for dealing with the time and the iteration-varying factors of the subway train. Second, a barrier composite energy function technique is exploited to obtain the convergence property of the proposed RBFNN-AILFTC scheme for subway train system, which can guarantee that the tracking error is asymptotic convergence along the iteration axis, meanwhile keep the speed profile of the subway train system satisfies the constraint. Finally, a subway train simulation is shown to verify the effectiveness of the theoretical studies.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"107 1","pages":"5785-5799"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89450369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Dissipativity-Based Asynchronous Control for 2-D Markov Jump Systems in Continuous-Time Domain 基于耗散的连续时域二维马尔可夫跳变系统异步控制

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-09-01 DOI: 10.1109/TSMC.2019.2950062

Ying Shen, Mei Fang

{"title":"Dissipativity-Based Asynchronous Control for 2-D Markov Jump Systems in Continuous-Time Domain","authors":"Ying Shen, Mei Fang","doi":"10.1109/TSMC.2019.2950062","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2950062","url":null,"abstract":"In Markov jump systems (MJSs), it is really difficult for the controller to perfectly follow the plant’s mode transitions due to a number of practical factors. Therefore, this article considers to develop an asynchronous controller for a class of two-dimensional continuous-time MJSs. The relation of the plant’s mode and the controller’s mode is modeled by the hidden Markov model, i.e., the plant’s mode influences the controller’s transitions in a conditional probabilistic style. By defining a vector Lyapunov function, a sufficient condition for mean-square exponential stability and (<inline-formula> <tex-math notation=\"LaTeX\">$mathcal U$ </tex-math></inline-formula>, <inline-formula> <tex-math notation=\"LaTeX\">$mathcal R$ </tex-math></inline-formula>, <inline-formula> <tex-math notation=\"LaTeX\">$mathcal S$ </tex-math></inline-formula>)-<inline-formula> <tex-math notation=\"LaTeX\">$varepsilon $ </tex-math></inline-formula> dissipativity is derived, whose feasible solutions give birth to a desired asynchronous controller. Finally, the influence of conditional probabilities on dissipativity performance is further studied through simulations.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"101 1","pages":"5349-5356"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80375763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Adaptive Finite-Time Saturated Tracking Control for a Class of Partially Known Robots 一类部分已知机器人的自适应有限时间饱和跟踪控制

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-09-01 DOI: 10.1109/TSMC.2019.2957183

C. Hwang, Bor‐Sen Chen

引用次数: 15

Adaptive Tracking Control of FIR Systems Under Binary-Valued Observations and Recursive Projection Identification 二值观测下FIR系统自适应跟踪控制及递推投影辨识

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-09-01 DOI: 10.1109/TSMC.2019.2946596

Ting Wang, Min Hu, Yanlong Zhao

引用次数: 8

Reduced-Order Estimator-Based Efficient Fault-Tolerant Tracking Control Optimization for Constrained LPV Systems 基于降阶估计的约束LPV系统高效容错跟踪控制优化

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-09-01 DOI: 10.1109/TSMC.2019.2957301

Kezhen Han, Jian Feng

{"title":"Reduced-Order Estimator-Based Efficient Fault-Tolerant Tracking Control Optimization for Constrained LPV Systems","authors":"Kezhen Han, Jian Feng","doi":"10.1109/TSMC.2019.2957301","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2957301","url":null,"abstract":"This article focuses on addressing a fault-tolerant tracking control (FTTC) problem for a class of constrained polytopic LPV systems. The dual-mode predictive control method is introduced to design an efficient FTTC strategy such that the performance output of LPV systems can be regulated to track a given reference within state/input constraints. On the whole, the FTTC policy is constructed by the reduced-order estimator, tracking error feedback, double signal compensation, and optimal predictive regulation (PR). In specific, a novel reduced-order estimator is first designed to provide the state and fault information. Then, an unconstrained robust tracking error feedback control is designed to stabilize the LPV systems. Following that, a double signal compensation mechanism is proposed to remove the influences of fault, fault estimation error and other mismatched disturbances. Afterward, an optimal PR policy is further designed to optimize the tracking performance and handle system constraints. Finally, the effectiveness of these proposed results is verified by three case studies.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"106 1","pages":"5855-5866"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87845275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

RISE-Based Integrated Motion Control of Autonomous Ground Vehicles With Asymptotic Prescribed Performance 基于rise的具有渐近规定性能的自主地面车辆综合运动控制

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-09-01 DOI: 10.1109/TSMC.2019.2950468

Chuan Hu, Hongbo Gao, Jinghua Guo, H. Taghavifar, Yechen Qin, J. Na, Chongfeng Wei

{"title":"RISE-Based Integrated Motion Control of Autonomous Ground Vehicles With Asymptotic Prescribed Performance","authors":"Chuan Hu, Hongbo Gao, Jinghua Guo, H. Taghavifar, Yechen Qin, J. Na, Chongfeng Wei","doi":"10.1109/TSMC.2019.2950468","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2950468","url":null,"abstract":"This article investigates the integrated lane-keeping and roll control for autonomous ground vehicles (AGVs) considering the transient performance and system disturbances. The robust integral of the sign of error (RISE) control strategy is proposed to achieve the lane-keeping control purpose with rollover prevention, by guaranteeing the asymptotic stability of the closed-loop system, attenuating systematic disturbances, and maintaining the controlled states within the prescribed performance boundaries. Three contributions have been made in this article: 1) a new prescribed performance function (PPF) that does not require accurate initial errors is proposed to guarantee the tracking errors restricted within the predefined asymptotic boundaries; 2) a modified neural network (NN) estimator which requires fewer adaptively updated parameters is proposed to approximate the unknown vertical dynamics; and 3) the improved RISE control based on PPF is proposed to achieve the integrated control objective, which analytically guarantees both the controller continuity and closed-loop system asymptotic stability by integrating the signum error function. The overall system stability is proved with the Lyapunov function. The controller effectiveness and robustness are finally verified by comparative simulations using two representative driving maneuvers, based on the high-fidelity CarSim–Simulink simulation.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"124 1","pages":"5336-5348"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89278283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 42

Stability and ℓ1-Gain Analysis for Switched Positive Systems With MDADT Based on Quasi-Time-Dependent Approach 基于准时相关方法的MDADT切换正系统稳定性及增益分析

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-09-01 DOI: 10.1109/TSMC.2019.2956567

Xiaoli Li, Shengli Du, Xudong Zhao

引用次数: 10