[1] YANG C, LI J, LI Z. Optimized adaptive control design and NN based trajectory planning for a class of wheeled inverted pendulum vehicle models[J]. IEEE Transactions on Cybernetics, 2013, 43(1):24-35. [2] YANG C G, GANESH G, HADDADIN S, et al. Human-like adaptation of force and impedance in stable and unstable interactions[J]. IEEE Transactions on Robotics, 2011, 27(5):918-930. [3] CUI R X, GE S S, HOW B V E, et al. Leader-follower formation control of underactuated autonomous underwater vehicles[J]. Ocean Engineering, 2010, 37(17/18):1491-1502. [4] LI Z J, LI J X, KANG Y. Adaptive robust coordinated control of multiple mobile manipulators interacting with rigid environments[J]. Automatica, 2010, 46(12):2028-2034. [5] LI Z J, CAO X Q, DING N. Adaptive fuzzy control for synchronization of nonlinear teleoperators with stochastic time-varying communication delays[J]. IEEE Transactions on Fuzzy Systems, 2011, 19(4):745-757. [6] ELANGO M, NACHIAPPAN S, TIWARI M K. Balancing task allocation in multi-robot systems using K-means clustering and auction based mechanisms[J]. Expert Systems with Applications, 2011, 38(6):6486-6491. [7] GERKEY B P, MATARIC M J. A formal framework for the study of task allocation in multi-robot systems[J]. International Journal of Robotics Research, 2003, 23(9):1-17. [8] 吴军,徐昕,连传强,等.协作多机器人系统研究进展综述[J].智能系统学报,2011,6(1):13-27.(WU J, XU X, LIAN C Q, et al. A survey of recent advances in cooperative multi-robot systems[J]. CAAI Transactions on Intelligent Systems, 2011, 6(1):13-27.) [9] SANDHOLM T. An implementation of the contract net protocol based on marginal cost calculations[C]//Proceedings of the 1993 Eleventh National Conference on Artificial Intelligence. Menlo Park:AAAI, 1993:256-262. [10] KARTAL B, NUNES E, GODOY J, et al. Monte Carlo tree search for multi-robot task allocation[C]//Proceedings of the 2016 Thirtieth AAAI Conference on Artificial Intelligence. Menlo Park:AAAI, 2016:4222-4223. [11] 李明,刘玮,张彦铎.基于改进合同网协议的多Agent动态任务分配[J].山东大学学报(工学版),2016,46(2):51-56.(LI M, LIU W, ZHANG Y D. Mulit-agent dynamic task allocation based on improved contract net protocol[J]. Journal of Shandong University (Engineering Science), 2016, 46(2):51-56.) [12] BARILE F, ROSSI A, STAFFA M, et al. A market mechanism for qos-aware multi-robot task allocation[EB/OL].[2017-04-06]. http://ceur-ws.org/Vol-1382/paper20.pdf. [13] CUI R, GAO J G B. Game theory-based negotiation for multiple robots task allocation[J]. Robotica, 2013, 31(6):923-934. [14] 沈莉,李杰,朱华勇.基于交换树的多机器人任务协调与负荷平衡方法[J].计算机应用,2016,36(11):3127-3130,3135.(SHEN L, LI J, ZHU H Y. Task coordination and workload balance method for multi-robot based on trading tree[J]. Journal of Computer Applications, 2016, 36(11):3127-3130, 3135.) [15] 张云正,薛颂东,曾建潮.群机器人多目标搜索中的合作协同和竞争协同[J].机器人,2015,37(2):142-151.(ZHANG Y Z, XUE S D, ZENG J C. Cooperative and competitive coordination in swarm robotic search for multiple targets[J]. Robot, 2015, 37(2):142-151.) [16] SANDHOLM T. Algorithm for optimal winner determination in combinatorial auctions[J]. Artificial Intelligence, 2002, 135(1/2):1-54. [17] TISUE S, WILENSKY U. Netlogo:a simple environment for modeling complexity[EB/OL].[2017-04-06]. http://www.ccl.sesp.northwestern.edu/papers/netlogo-iccs2004.pdf. |