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Design of an Executable ANFIS-based Control System to Improve the Attitude and Altitude Performances of a Quadcopter Drone 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 124-140
作者:  Mohammad Al-Fetyani;  Mohammad Hayajneh;  Adham Alsharkawi
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Quadcopter  proportional integral derivate (PID) control  fuzzy control  adaptive neuro-fuzzy  altitude control  attitude control  
A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 321-352
作者:  Madhusmita Panda;  Bikramaditya Das;  Bidyadhar Subudhi;  Bibhuti Bhusan Pati
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Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).  
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
作者:  Wu, Yuan;  Zhu, Haibing;  Du, Qingxiu;  Tang, Shuming
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Inertial Measurement Unit (Imu)  Pedestrian Dead-reckoning  Indoor Navigation  Technical Route  General Framework  
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
作者:  Yuan Wu;  Hai-Bing Zhu;  Qing-Xiu Du;  Shu-Ming Tang
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Inertial measurement unit (IMU)  pedestrian dead-reckoning  indoor navigation  technical route  general framework.  
Current Researches and Future Development Trend of Intelligent Robot: A Review 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 525-546
作者:  Tian-Miao Wang;  Yong Tao;  Hui Liu
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Intelligent robot  human-robot collaboration  driverless technology  emotion recognition  brain-computer interface  big data network.  
Pinning Control and Controllability of Complex Dynamical Networks 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 1-9
作者:  Guanrong Chen
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Complex network  pinning control  controllability  linear time-invariant (LTI) system  temporally switching network  graph theory.