The uncertainty of dynamics is often unavoidable in practical applications especially for networked control systems while energy cost reduction is a perpetual issue for engineering. With this motivation, this article considers the adaptive tracking consensus problem of uncertain second-order multiagent systems via impulsive communication. The tracking consensus is achieved by designing proper adaptive control schemes with neural networks. Two control strategies are proposed for different cases. One considers that all state information is available while another considers only partial information can be used. Estimators equipped by followers are designed, which do not need any information about neighbors during the time interval without communication. Even though the estimators and followers are under control continuously over time, the communication among all agents is only permitted at impulsive instants. In such situations, some sufficient conditions to guarantee the estimation and convergence are obtained for both cases. It is proved that by the proposed adaptive schemes for uncertain multiagent systems, errors exist both for estimation and consensus due to uncertain dynamics and adaptive schemes. Numerical simulations, including a practical example, are presented to illustrate the effectiveness of the proposed method.

中文翻译：

---

不确定二阶多智能体系统自适应跟踪共识的全部和部分信息的脉冲通信。

动态的不确定性在实际应用中通常是不可避免的，特别是对于网络控制系统，而降低能源成本是工程的永恒问题。以此为动机，本文通过脉冲通信考虑了不确定二阶多智能体系统的自适应跟踪一致性问题。通过使用神经网络设计适当的自适应控制方案来实现跟踪一致性。针对不同的情况提出了两种控制策略。一个认为所有状态信息都可用，而另一个认为只能使用部分信息。设计了跟随者配备的估计器，在没有通信的时间间隔内不需要任何关于邻居的信息。即使估计者和追随者随着时间的推移不断受到控制，所有代理之间的通信只允许在冲动的时刻。在这种情况下，两种情况都得到了保证估计和收敛的充分条件。证明了所提出的不确定多智能体系统的自适应方案，由于不确定的动力学和自适应方案，估计和共识都存在误差。数值模拟，包括一个实际的例子，被提出来说明所提出的方法的有效性。