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A kind of synergic control for a collection of vehicles

机译:一种用于车辆集合的协同控制

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摘要

In many fields and even in our daily life, besides the usual feedback controls, it is also very useful for us to control our business by regulating the connections among the subsystems directly. In this paper, the problem of a kind of synergic control among a collection of vehicles performing a shared task using intervehicle communication and internal output feedback are considered, in which the weights of the corresponding edges are considered as the control variables and called connection coefficient gain in this paper. Firstly, when the weights of the corresponding edges are fixed, necessary and sufficient conditions for stability and stabilizability under a special decentralized control strategy are given for the corresponding closed loop network system. Corresponding controllers design methods are proposed via the parameter-dependent Lyapunov function. Especially, two types of networks, star-shaped networks and globally coupled networks, are studied in detail. Secondly, the Nyquist criterion is presented, which uses the eigenvalues of the weights matrix to determine the effects of the connection coefficients regulation on system stability. Thirdly, a general description of this kind of synergic control is proposed via the block diagram of the information flow. Finally, the synergic control among a collection of vehicles with different linear dynamical model is investigated simply.
机译:在许多领域,甚至在我们的日常生活中,除了通常的反馈控制外,通过直接调节子系统之间的连接来控制业务对我们也非常有用。在本文中,考虑了使用车辆间通信和内部输出反馈执行共享任务的车辆集合之间的一种协同控制问题,其中将相应边的权重视为控制变量,称为连接系数增益在本文中。首先,当相应边的权重固定时,针对相应的闭环网络系统,给出了在特殊分散控制策略下的稳定性和可稳定性的必要和充分条件。通过参数相关的Lyapunov函数提出了相应的控制器设计方法。特别地,详细研究了两种类型的网络,星形网络和全局耦合网络。其次,提出了奈奎斯特准则,该准则使用权重矩阵的特征值来确定连接系数调节对系统稳定性的影响。第三,通过信息流的框图提出了这种协同控制的一般描述。最后,简单研究了具有不同线性动力学模型的车辆集合之间的协同控制。

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