[1] [1] MONDAL S,PRATIHAR D K.Fuzzy logic-based group formation control of multiple wheeled robots［C］//2016 International Conference on Microelectronics,Computing and Communications,Jan.23-25,2016,Durgapur,India.New York:IEEE,2016:1-7.

[2] [2] KADA B,KHALID M,SHAIKH M S.Distributed cooperative control of autonomous multi-agent UAV systems using smooth control[J].Journal of Systems Engineering and Electronics,2020,31(6):1297-1307.

[4] [4] TAI F L,LI H.A distributed optimization algorithm for multi-agent systems with limited communication［C］//2020 Chinese Control and Decision Conference,Aug.22-24,2020,Hefei,China.New York:IEEE,2020:622-625.

[5] [5] CHEN Z Y,XU B,AGV path planning based on improved artificial potential field method［C］//2021 IEEE International Conference on Power Electronics,Computer Applications,Jan .-24,2021,Shenyang,China.New York:IEEE,2021:32-37.

[8] [8] Yan X,Jiang D,Miao R.Formation control and obstacle avoidance algorithm of a multi-USV system based on virtual structure and artificial potential field[J].Journal of Marine Science and Engineering,2021,9(2):161-179.

[9] [9] DONG L F,CHEN Y Z,QU X J.Formation control strategy for nonholonomic intelligent vehicles based on virtual structure and consensus approach[J].Procedia Engineering,2016,137:415-424.

[10] [10] WU Y,GOU J,HU X,et al.A new consensus theory-based method for formation control and obstacle avoidance of UAVs[J].Aerospace Science and Technology,2020,107:106332.

[11] [11] LG A,JAMC A,EGHM B,et al.Multi robot distance based formation using Parallel Genetic Algorithm-Science Direct[J].Applied Soft Computing,2020,86:105929.

[12] [12] VINOGRADOV A,TERENTEV A,KOCHETKOV M,et al.Model of fuzzy regulator of mobile robot motion control system［C］//2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering,Jan 28-31,2019,Saint Petersburg and Moscow Russia.New York:IEEE,2019:2109-2112.

[13] [13] YANG S,BAI W,LI T,et al.Neural-network-based formation control with collision,obstacle avoidance and connectivity maintenance for a class of second-order nonlinear multi-agent systems[J].Neurocomputing,2021,439:243-255.

[14] [14] MAO Q,ZHANG D,LI X,et al.Strategy of control and avoidance of UAVs based on neighborhood tracking and identification[J].Journal of Systems Engineering and Electronics,2018,40(9):2071-2078.

[15] [15] ZHAO H,HAI L,LEUNG Y W,et al.Self-adaptive collective motion of swarm robots[J].Automation Science and Engineering,IEEE Transactions on,2018,15(4):1533-1545.

[16] [16] ZHAO H,WEI J,HUANG S,et al.Regular topology formation based on artificial forces for distributed mobile robotic networks[J].IEEE Transactions on Mobile Computing,2018,18(10):2415-2429.

[18] [18] AL FAIYA B M,SCHWARTZ H M.Q(λ)-learning fuzzy controller for the homicidal chauffeur differential game［C］//2012 20th Mediterranean Conference on Control & Automation,July 3-6,2012,Barcelona,Spain.New York:IEEE,2016:247-252.

[19] [19] HUANG J,ANGELOV P P,YIN C.Interpretable policies for reinforcement learning by empirical fuzzy sets[J].Engineering Applications of Artificial Intelligence,2020,91:103559.