1. 毕业设计（论文）的内容和要求
本课题研究基于一致性协议的多智能体系统的跟踪控制。
在实际运用中，由于某些科技的局限性或者彼此通信的约束性，部分智能体的部分或者全部状态，往往不能完全测量到。
基于此，课题考虑质点模型的多智能体系统，假设智能体部分信息不可量测，设计观测器来估计智能体的未知信息，进而设计基于观测器信息的一致性控制策略，从而使得多智能体系统实现跟踪控制。
2. 参考文献
[1] Olfati-Saber R, Fax A, Murray R M. Consensus and cooperation in networked multi-agent systems[J]. Proceedings of the IEEE, 2007, 95(1): 215-233.[2] Yu W, Chen G, Cao M. Some necessary and sufficient conditions for second-order consensus in multi-agent dynamical systems[J]. Automatica, 2010, 46(6): 1089-1095.[3] Mesbahi M, Egerstedt M. Graph theoretic methods in multiagent networks[M]. Princeton University Press, 2010.[4] 苗国英, 马倩. 多智能体系统的协调控制研究综述[J]. 南京信息工程大学学报: 自然科学版, 2013, 5(5): 385-396.[5] Hong Y, Chen G, Bushnell L. Distributed observers design for leader-following control of multi-agent networks[J]. Automatica, 2008, 44(3): 846-850. [6] Hong Y, Hu J, Gao L. Tracking control for multi-agent consensus with an active leader and variable topology[J]. Automatica, 2006, 42(7): 1177-1182. [7] Huang S J, Yang G H. Fault estimation for fuzzy delay systems: A minimum norm least squares solution approach[J]. IEEE transactions on cybernetics, 2016, 47(9): 2389-2399.[8] Yan J J, Yang G H, Li X J. Adaptive observer-based fault-tolerant tracking control for TS fuzzy systems with mismatched faults[J]. IEEE Transactions on Fuzzy Systems, 2019.[9] Li Z, Liu X, Lin P, et al. Consensus of linear multi-agent systems with reduced-order observer-based protocols[J]. Systems Control Letters, 2011, 60(7): 510-516.[10] Xu X, Chen S, Huang W, et al. Leader-following consensus of discrete-time multi-agent systems with observer-based protocols[J]. Neurocomputing, 2013, 118: 334-341.[11] Yoshioka C, Namerikawa T. Observer-based consensus control strategy for multi-agent system with communication time delay[C]//2008 IEEE International Conference on Control Applications. IEEE, 2008: 1037-1042.除上述文献外，请再自行查阅相关文献不少于20篇。
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