Open Access
Volume 38, Number 2, April 2020
Page(s) 295 - 302
Published online 17 July 2020
  1. Gu J, Su T, Wang Q, et al. Multiple Moving Targets Surveillance Based on a Cooperative Network for Multi-UAV[J]. IEEE Communications Magazine, 2018, 56 (4): 82– 89 [Article] [CrossRef] [Google Scholar]
  2. Erhart S, Hirche S. Internal Force Analysis and Load Distribution for Cooperative Multi-Robot Manipulation[J]. IEEE Trans on Robotics, 2015, 31 (5): 1238– 1243 [Article] [CrossRef] [Google Scholar]
  3. Cheng H, Page J, Olsen J. Cooperative Control of UAV Swarm via Information Measures[J]. International Journal of Intelligent Unmanned Systems, 2013, 1 (3): 256– 275 [Article] [CrossRef] [Google Scholar]
  4. Tong Q, Yuan Z, Liao X, et al. Magnetic Levitation Haptic Augmentation for Virtual Tissue Stiffness Perception[J]. IEEE Trans on Visualization and Computer Graphics, 2017, 24 (12): 3123– 3136 [Article] [CrossRef] [Google Scholar]
  5. Ou L, Shao Q, Chen J, et al. Decentralized PID Controller Design for the Cooperative Control of Networked Multi-Agent Systems[C]//2012 12th International Conference on Control Automation Robotics & Vision, 2012: 554–559 [Google Scholar]
  6. Zhou Y, Cheng N, Lu N, et al. Multi-UAV-Aided Networks:Aerial-Ground Cooperative Vehicular Networking Architecture[J]. IEEE Vehicular Technology Magazine, 2015, 10 (4): 36– 44 [Article] [CrossRef] [Google Scholar]
  7. Heredia G, Caballero F, Maza I, et al. Multi-UAV Cooperative Fault Detection Employing Vision-Based Relative Position Estimation[J]. IFAC Proceedings Volumes, 2008, 41 (2): 12093– 12098 [Article] [CrossRef] [Google Scholar]
  8. Bi Peng, Luo Jianjun, Zhang Bo. Cooperate Control Algorithm for Spacecraft Formation Flying Based on Consensus Theory[J]. Journal of Astronautics, 2010, 31 (1): 70– 74 [Article] [Google Scholar]
  9. Zhou Jian, Gong Chunlin, Su Hua, et al. Finite Time Distributed Synchronization of Spacecraft Formation Attitude with Complex Constraints[J]. Journal of Astronautics, 2018, 39 (12): 1340– 1347 [Article] [Google Scholar]
  10. Zhang Bo, Luo Jianjun, Yuan Jianping. On-Orbit Autonomous Operation Cooperative Control of Multi-Spacecraft Formation[J]. Journal of Astronautics, 2010, 31 (1): 130– 136 [Article] [Google Scholar]
  11. Luo Jianjun, Zhou Liang, Jiang Qiqi, et al. 6 DOF Coordinated Control Using Cyclic Pursuit for Spacecraft Formation[J]. Journal of Astronautics, 2017, 38 (2): 166– 175 [Article] [Google Scholar]
  12. Lawrence D A, Frew E W, Pisano W J. Lyapunov Vector Fields for Autonomous Unmanned Aircraft Flight Control[J]. Journal of Guidance Control & Dynamics, 2012, 31 (31): 1220– 1229 [Article] [CrossRef] [Google Scholar]
  13. Wang Y, Wang X, Zhao S, et al. Vector Field Based Sliding Mode Control of Curved Path Following for Miniature Unmanned Aerial Vehicles in Winds[J]. Journal of Systems Science & Complexity, 2018, 31 (1): 302– 324 [Article] [CrossRef] [Google Scholar]
  14. Park D C, Elsharkawi M A, Marks R J I, et al. Electric Load Forecasting Using an Artificial Neural Network[J]. IEEE Trans on Power Systems, 1991, 6 (2): 442– 449 [Article] [Google Scholar]
  15. Das D, Matolak D W, Das S. Spectrum Occupancy Prediction Based on Functional Link Artificial Neural Network(FLANN) in ISM Band[J]. Neural Computing & Applications, 2018, 29 (12): 1363– 1376 [Article] [CrossRef] [Google Scholar]
  16. Luo Y, Fu Q, Liu J, et al. An Extended Algorithm Using Adaptation of Momentum and Learning Rate for Spiking Neurons Emitting Multiple Spikes[C]//International Work-Conference on Artificial Neural Networks, 2017: 569–579 [Google Scholar]
  17. Bengio Y, Mesnard T, Fischer A, et al. STDP-Compatible Approximation of Backpropagation in an Energy-Based Model[J]. Neural Computation, 2017, 29 (3): 555– 577 [Article] [CrossRef] [Google Scholar]

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