Tracking consensus for nonlinear heterogeneous multi-agent systems subject to unknown disturbances via sliding mode control

We investigate the tracking control for a class of nonlinear heterogeneous leader-follower multi-agent systems(MAS)with unknown external disturbances. Firstly, the neighbor-based distributed finite-time observers are proposed for the followers to estimate the position and velocity of the leader. Then, two novel distributed adaptive control laws are designed by means of linear sliding mode(LSM) as well as nonsingular terminal sliding mode(NTSM), respectively. One can prove that the tracking consensus can be achieved asymptotically under LSM and the tracking error can converge to a quite small neighborhood of the origin in finite time by NTSM in spite of uncertainties and disturbances. Finally, a simulation example is given to verify the effectiveness of the obtained theoretical results.     

基于形变多样相似性的空间正则化相关滤波跟踪

提出了一个基于形变多样相似性的空间正则化相关滤波跟踪算法。在核相关滤波(KCF)跟踪算法基础上引入了空间正则化权重和子网格检测方法,利用形变多样相似性匹配算法构建了目标重检测模块,利用主成分分析(PCA)算法和k维树一致近似最近邻(TreeCANN)算法解决了匹配算法中的最近邻搜索问题;通过自适应模板更新策略,解决了遮挡情况下模板误更新问题。实验结果表明,所提算法的精确度得分为0.825,成功率得分为0.625,相比KCF算法分别提升了18.5%和31.0%。所提算法能较好地解决目标尺度变化、遮挡、快速运动、旋转和背景杂乱情况下的跟踪问题,具有广泛的应用前景。     

基于全局感知孪生网络的红外目标跟踪

目前大多数热红外(TIR)目标跟踪算法都是基于相关滤波或者使用彩色跟踪器的模型进行特征提取.然而,两者都存在适用于彩色目标跟踪却对红外目标特征不敏感的缺陷,导致无法良好地应用到红外目标跟踪.为此,提出一种基于全局感知的孪生神经网络的红外目标跟踪器.将孪生神经网络的后三层特征进行融合优化,得到新的特征,同时加入了由空间转...     

Robust networked H∞ synchronization of nonidentical chaotic Lur＇e systems

We mainly investigate the robust networked H∞synchronization problem of nonidentical chaotic Lur’e systems. In the design of the synchronization scheme, some network characteristics, such as nonuniform sampling, transmissioninduced delays, and data packet dropouts, are considered. The parameters of master–slave chaotic Lur’e systems often allow differences. The sufficient condition in terms of linear matrix inequality(LMI) is obtained to guarantee the dissipative synchronization of nonidentical chaotic Lur’e systems in network environments. A numerical example is given to illustrate the validity of the proposed method.     

Time-varying formation for general linear multi-agent systems via distributed event-triggered control under switching topologies

This paper investigates the time-varying formation problem for general linear multi-agent systems using distributed event-triggered control strategy.Different from the previous works,to achieve the desired time-varying formation,a distributed control scheme is designed in an event-triggered way,in which for each agent the controller is triggered only at its own event times.The interaction topology among agents is assumed to be switching.The common Lyapunov function as well as Riccati inequality is applied to solve the time-varying formation problem.Moreover,the Zeno behavior of triggering time sequences can be excluded for each agent.Finally,a simulation example is presented to illustrate the effectiveness of the theoretical results.     

DoS攻击下多智能体系统的事件触发编队控制

文章研究了拒绝服务(DoS)攻击情况下多智能体系统基于事件触发的编队控制问题.首先,基于系统状态构造了一种滑模编队控制算法,有效地克服外部干扰并实现时变编队.为了避免控制资源浪费,将事件触发策略应用于多智能体系统的编队控制中,并对奇诺(Zeno)现象的避免进行了详细的分析.假设DoS攻击是周期性发生的,针对具有DoS攻击的多智能体系统,提出了一种改进的触发机制,使其仍然能完成编队控制任务,并通过Lyapunov函数法和归纳法证明了控制系统的稳定性.最后,仿真结果验证了该方案的有效性.