Scalable Harmonization of Complex Networks With Local Adaptive Controllers
提出一种自底向上的分布式控制方法，每个节点由简单控制器负责，通过级联控制互联和邻居信息共享实现网络整体行为，采用全概率设计处理不确定性，并在线性高斯情形下验证。
Computational and communication complexities call for distributed, robust, and adaptive control. This paper proposes a promising way of bottom-up design of distributed control in which simple controllers are responsible for individual nodes. The overall behavior of the network can be achieved by interconnecting such controlled loops in cascade control for example and by enabling the individual nodes to share information about data with their neighbors without aiming at unattainable global solution. The problem is addressed by employing a fully probabilistic design, which can cope with inherent uncertainties, that can be implemented adaptively and which provide a systematic rich way to information sharing. This paper elaborates the overall solution, applies it to linear-Gaussian case, and provides simulation results.