[1] NELSON E, CORAH M, MICHAEL N. Environment model adaptation for mobile robot exploration[J]. Autonomous Robots, 2018,42(2): 257-272. [2] AlONSO-MORA J, MONTIJANO E, NAGELI T, et al. Distributed multi-robot formation control in dynamic environments[J/OL]. Autonomous Robots, 2018[2018-07-10].https:∥doi.org/10.1007/s10514-018-9783-9. [3] YANG X, HUA C C, YAN J, et al. Adaptive formation control of cooperative teleoperators with intermittent communications[J]. IEEE Transactions on Cybernetics, 2018,99(3): 1-10. [4] TRINH M H, ZHAO S, SUN Z, et al. Bearing-based formation control of A group of agents with leader-first follower structure[J/OL]. IEEE Transactions on Automatic Control:1-17[2018-06-24]. https:∥doi.org/10. 1109 /TAC.2018.2836022. [5] CUNNINGHAM A G, EUSTICE R M, OLSON E et al. Multipolicy decision-making for autonomous driving via change point-based behavior prediction: theory and experiment[J]. Autonomous Robots, 2017, 41(6):1367-1382. [6] LI X X, XIE L H. Dynamic formation control over directed networks using graphical Laplacian approach[J]. IEEE Transactions on Automatic Control, 2018, 56(7):21-35. [7] 潘无为, 姜大鹏, 庞永杰,等. 人工势场和虚拟结构相结合的多水下机器人编队控制[J].兵工学报, 2017, 38(2):326-334. PAN W W, JIANG D P,PANG Y J, et al. A multi-AUV formation algorithm combining artificial potential field and virtual structure[J]. Acta Armamentarii, 2017, 38(2):326-334.(in Chinese) [8] DESAI J P, OSTROWSKI J, KUMAR V. Controlling formations of multiple mobile robots[C]∥Proceedings of IEEE International Conference on Robotics and Automation. Leuven, Belgium: IEEE, 1998: 2864-2869. [9] TAKAHASHI H, NISHI H, OHNISHI K. Autonomous decentra- lized control for formation of multiple mobile robots considering ability of robot[J]. IEEE Transactions on Industrial Electronics, 2004, 51(6):1272-1279. [10] LEWIS M A, TAN K H. High precision formation control of mobile robots using virtual structures[J]. Autonomous Robots, 1997, 4(4):387-403. [11] 贾一帆, 初亮, 许楠,等. 车用双电源开绕组电机驱动系统绕组模式切换及电流控制策略[J]. 吉林大学学报(工学版), 2018,48(1):20-29. JIA Y F, CHU L, XU N, et al. Winding mode shifting and current control strategy of dual power open-winding PMSM drive system for electric vehicle[J]. Journal of Jilin University (Engineering and Technical Edition), 2018,48(1):20-29.(in Chinese) [12] 程代展, 郭宇骞. 切换系统进展[J]. 控制理论与应用, 2005, 22(6):954-960. CHENG D Z, GUO Y Q. Advances on switched systems[J]. Control Theory & Applications, 2005, 22(6):954-960.(in Chinese) [13] 付主木, 李东卫, 宋书中,等. 单轴联结式并联混合动力汽车分层切换控制设计[J]. 控制理论与应用, 2017,34(10):1339-1348. FU Z M, LI D W, SONG S Z, et al. Hierarchical switching control design for single-axle parallel hybrid electric vehicles[J]. Control Theory & Applications, 2017, 34(10):1339-1348.(in Chinese) [14] SMITH A J, HOLLINGER G A. Distributed inference-based multi-robot exploration[J]. Autonomous Robots, 2018, 42(2):1651-1668. [15] L Q, WEI H, LIN H C, et al. Design and implementation of multi robot research platform based on UWB[C]∥Proceedings of the 29th Chinese Control and Decision Conference. Shenyang: Northeastern University Press, 2017:7246-7251. [16] 卫恒,吕强,王国胜,等.基于超宽带测距的异构移动机器人轨迹跟踪控制[J].北京航空航天大学学报, 2018,44(7):1461-1471. WEI H, L Q, WANG G S, et al. Trajectory tracking control for heterogeneous mobile robots based on improved UWB ranging[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018,44(7):1461-1471.(in Chinese)
第40卷第5期 2019 年5月兵工学报ACTA ARMAMENTARIIVol.40No.5May2019
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