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Obstacle-circumventing adaptive control of a four-wheeled mobile robot subjected to motion uncertainties

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0753-3

Abstract: resolve the tracking control and obstacle avoidance separately.synergistic robustness and smooth navigation of mobile robots subjected to motion uncertainties in a dynamicBy introducing sub-target points, a new sub-target dynamic tracking regression obstacle avoidance strategyis presented to transfer the obstacle avoidance problem into a dynamic tracking one, thereby reducingavoidance efficiency of the concerned FMR system.

Keywords： four-wheeled mobile robot     obstacle-circumventing adaptive control     adaptive anti-disturbance terminalsliding mode control     sub-target dynamic tracking regression obstacle avoidance    

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The Shortest Path for Mobile Robots in Obstacle Avoidance

Guo Ge

Strategic Study of CAE 2003, Volume 5, Issue 5,   Pages 70-75

Abstract:

An obstacle avoidance strategy for mobile robot is presented based on obstacle position and size informationFurthermore, rational robot paths in obstacle avoidance are discussed in detail, which leads to the finalimportant result of optimal path for mobile robot to avoid an obstacle.

Keywords： mobile robot     ultrasonic sensor     obstacle avoidance     path planning     optimal path    

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Research on Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based Article

Jian Wu, Yang Yan, Yulong Liu, Yahui Liu

Engineering 2024, Volume 33, Issue 2,   Pages 133-145 doi: 10.1016/j.eng.2023.07.018

Abstract: avoidance trajectories that conform to real driver behavior habits.In addition, owing to the strong time-varying dynamic characteristics of obstacle avoidance scenariosTherefore, an anthropomorphic obstacle-avoidance trajectory planning strategy for adaptive driving scenariosavoidance with the weight of the optimization function, and an anthropomorphic obstacle avoidance trajectoryavoidance and the state of the vehicle.

Keywords： Obstacle avoidance trajectory planning     Inverse reinforcement theory     Anthropomorphic     Adaptive driving    

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Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances Article

Yanjie Chen, Yangning Wu, Limin Lan, Hang Zhong, Zhiqiang Miao, Hui Zhang, Yaonan Wang

Engineering 2024, Volume 35, Issue 4,   Pages 74-85 doi: 10.1016/j.eng.2023.05.017

Abstract: a dynamic target in Global Positioning System (GPS)-denied environments.target.The depth model ensures image feature accuracy and image trajectory smoothness in rotating target trackingThe relative velocities of the UAV and the dynamic target are estimated using the proposed velocity observer, anti-disturbance ability, and tracking robustness of the proposed method with a dynamic rotating target

Keywords： Unmanned aerial vehicle     Visual servoing     Velocity observer     Target tracking    

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A new efficient optimal path planner for mobile robot based on Invasive Weed Optimization algorithm

Prases K. MOHANTY,Dayal R. PARHI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 317-330 doi: 10.1007/s11465-014-0304-z

Abstract: First we have framed an objective function that satisfied the conditions of obstacle avoidance and target

Keywords： mobile robot     obstacle avoidance     Invasive Weed Optimization     navigation    

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Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 221-236 doi: 10.1007/s11705-021-2061-y

Abstract: To study the dynamic behavior of a process, time-resolved data are collected at different time instantsFor utilizing such time-resolved data to model the dynamic behavior, dynamic response surface methodologyTwo approaches can be adopted in the estimation of the model parameters: stepwise regression, used inseveral of previous publications, and Lasso regression, which is newly incorporated in this paper forTherefore, DRSM with Lasso regression can provide faster and more accurate data-driven models for a variety

Keywords： data-driven modeling     pharmaceutical organic synthesis     Lasso regression     dynamic response surface methodology    

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Multi-UAV cooperative target tracking with bounded noise for connectivity preservation

Rui Zhou, Yu Feng, Bin Di, Jiang Zhao, Yan Hu,jzhao@buaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 10,   Pages 1413-1534 doi: 10.1631/FITEE.1900617

Abstract: We investigate cooperative target tracking of multiple unmanned aerial vehicles (UAVs) with a limitedThis is an integration of UAV motion control, target state estimation, and network topology control.are analyzed, and potential functions are proposed for communication link maintenance and collision avoidanceBy taking stable target tracking into account, a distributed potential function based UAV motion controllerSince only the estimation of the target state rather than the state itself is available for UAV motion
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Small tracking error correction for moving targets of intelligent electro-optical detection systems

Frontiers of Mechanical Engineering 2024, Volume 19, Issue 2, doi: 10.1007/s11465-024-0782-6

Abstract: Small tracking error correction for electro-optical systems is essential to improve the tracking precisionThe core goal of this work is to address the issues, such as small tracking error correction and aimingcontrol between the tracking controller’s feedback and the motor’s velocity–stability loop.An LSS moving target shooting object with a tracking distance of S = 100 m, target board areaof A = 1 m2, and target linear velocity of v = 5 m/s is simulated.

Keywords： electro-optical detection system     small tracking error     moving target     visual servo     aiming control    

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A multi-sensor-system cooperative scheduling method for ground area detection and target tracking Research Article

Yunpu ZHANG, Qiang FU, Ganlin SHAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 2,   Pages 245-258 doi: 10.1631/FITEE.2200121

Abstract: model was established, in which the posterior Carmér-Rao lower bound was applied to evaluate future trackingFinally, an objective function was developed which considers the requirements of detection, tracking,

Keywords： Sensor scheduling     Area detection     Target tracking     Road constraints     Doppler blind zone    

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Amodified variable rate particle filter for maneuvering target tracking

Yun-fei GUO,Kong-shuai FAN,Dong-liang PENG,Ji-an LUO,Han SHENTU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 985-994 doi: 10.1631/FITEE.1500149

Abstract: To address the problem of maneuvering target tracking, where the target trajectory has prolonged smoothCompared with conventional variable rate models, the proposed model does not need any prior knowledge of targetConsequently, it is more convenient in practical tracking applications.embedded in MVRPF, can move more particles into regions of high likelihood and hence can improve the tracking

Keywords： Maneuvering target tracking     Prolonged smooth regions     Variable rate model     Maneuver detection    

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Multi－target Tracking Algorithm for Multi－static Radar SystemBased on Parallel Processing Mechanism

Xu Hongkui,Wang Dongjin,Chen Weidong

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 151-156

Abstract:

To investigate the problem of tracking multiple short range high speedmaneuvering targets with multi- static radar system, a tracking algorithm based on parallel processingThe whole measurement association course was divided into some parallel sub-courses, moreover, an establishedtarget's tracking course is separated into two parallel3-D sub-courses which execute iterative filtering

Keywords： multi-static radar system     multi-target tracking     parallel processing     MSJPDA     parallel extendedkalman filtering    

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Anovel approach of noise statistics estimate using H∞ filter in target tracking

Xie WANG,Mei-qin LIU,Zhen FAN,Sen-lin ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 449-457 doi: 10.1631/FITEE.1500262

Abstract: Noise statistics are essential for estimation performance. In practical situations, however, a priori information of noise statistics is often imperfect. Previous work on noise statistics identification in linear systems still requires initial prior knowledge of the noise. A novel approach is presented in this paper to solve this paradox. First, we apply the H∞ filter to obtain the system state estimates without the common assumptions about the noise in conventional adaptive filters. Then by applying state estimates obtained from the H∞ filter, better estimates of the noise mean and covariance can be achieved, which can improve the performance of estimation. The proposed approach makes the best use of the system knowledge without a priori information with modest computation cost, which makes it possible to be applied online. Finally, numerical examples are presented to show the efficiency of this approach.

Keywords： Noise estimate     H∞     filter     Target tracking    

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Energy-efficient localization and target tracking via underwater mobile sensor networks None

Hua-yan CHEN, Mei-qin LIU, Sen-lin ZHANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 8,   Pages 999-1012 doi: 10.1631/FITEE.1700598

Abstract: Target tracking, whose performance depends on sensor localization accuracy, is one of the broad applicationstracking.Furthermore, we present a simultaneous localization and target tracking (SLAT) algorithm to update sensorlocations based on measurements during the process of target tracking.tracking performance.

Keywords： Underwater mobile sensor networks     Energy-efficient     Sensor localization     Target tracking    

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High-accuracy target tracking for multistatic passive radar based on a deep feedforward neural network Research Article

Baoxiong XU, Jianxin YI, Feng CHENG, Ziping GONG, Xianrong WAN,jessiexu@whu.edu.cn,jxyi@whu.edu.cn,cwing@whu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8,   Pages 1214-1230 doi: 10.1631/FITEE.2200260

Abstract: When we evaluate a tracking algorithm, its is the main criterion.To improve the , in this paper we formulate the tracking problem into a regression model from measurementsto target states.A tracking algorithm based on a modified (MDFNN) is then proposed.extended Kalman filter (EKF), unscented Kalman filter (UKF), and recurrent neural network (RNN) based tracking

Keywords： Deep feedforward neural network     Filter layer     Passive radar     Target tracking     Tracking accuracy    

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Multi-UAV obstacle avoidance control via multi-objective social learning pigeon-inspired optimization Research

Wan-ying Ruan, Hai-bin Duan,wyruan@buaa.edu.cn,hbduan@buaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5,   Pages 649-808 doi: 10.1631/FITEE.2000066

Abstract: We simulate the flight process of five UAVs in a complex obstacle environment.

Keywords： 无人机；避障；鸽群优化；多目标社会学习鸽群优化    

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Title Author Date Type Operation

Obstacle-circumventing adaptive control of a four-wheeled mobile robot subjected to motion uncertainties

Journal Article

The Shortest Path for Mobile Robots in Obstacle Avoidance

Guo Ge

Journal Article

Research on Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based

Jian Wu, Yang Yan, Yulong Liu, Yahui Liu

Journal Article

Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances

Yanjie Chen, Yangning Wu, Limin Lan, Hang Zhong, Zhiqiang Miao, Hui Zhang, Yaonan Wang

Journal Article

A new efficient optimal path planner for mobile robot based on Invasive Weed Optimization algorithm

Prases K. MOHANTY,Dayal R. PARHI

Journal Article

Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis

Journal Article

Multi-UAV cooperative target tracking with bounded noise for connectivity preservation

Rui Zhou, Yu Feng, Bin Di, Jiang Zhao, Yan Hu,jzhao@buaa.edu.cn

Journal Article

Small tracking error correction for moving targets of intelligent electro-optical detection systems

Journal Article

A multi-sensor-system cooperative scheduling method for ground area detection and target tracking

Yunpu ZHANG, Qiang FU, Ganlin SHAN

Journal Article

Amodified variable rate particle filter for maneuvering target tracking

Yun-fei GUO,Kong-shuai FAN,Dong-liang PENG,Ji-an LUO,Han SHENTU

Journal Article

Multi－target Tracking Algorithm for Multi－static Radar SystemBased on Parallel Processing Mechanism

Xu Hongkui,Wang Dongjin,Chen Weidong

Journal Article

Anovel approach of noise statistics estimate using H∞ filter in target tracking

Xie WANG,Mei-qin LIU,Zhen FAN,Sen-lin ZHANG

Journal Article

Energy-efficient localization and target tracking via underwater mobile sensor networks

Hua-yan CHEN, Mei-qin LIU, Sen-lin ZHANG

Journal Article

High-accuracy target tracking for multistatic passive radar based on a deep feedforward neural network

Baoxiong XU, Jianxin YI, Feng CHENG, Ziping GONG, Xianrong WAN,jessiexu@whu.edu.cn,jxyi@whu.edu.cn,cwing@whu.edu.cn

Journal Article

Multi-UAV obstacle avoidance control via multi-objective social learning pigeon-inspired optimization

Wan-ying Ruan, Hai-bin Duan,wyruan@buaa.edu.cn,hbduan@buaa.edu.cn

Journal Article