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A Network Optimization Approach to Cooperative Control Synthesis

机译:一种网络优化的协同控制综合方法

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The mathematical theory of nonlinear cooperative control relies heavily on notions from graph theory and passivity theory. A general analysis result is known about cooperative control of maximally equilibrium-independent systems, relating steady-states of the closed-loop system to network optimization theory. However, until now only analysis results have been proven, and there is no known synthesis result. This letter presents a controller synthesis procedure for a class of diffusively coupled dynamic networks. We use tools from network optimization and convex analysis to show that for a network composed of maximally equilibrium independent passive systems, it is possible to construct controllers on the edges that are maximally equilibrium independent output-strictly passive and achieve any desired formation. Furthermore, we show that this can be achieved with linear controllers. We also provide a simple controller augmentation procedure to allow for reconfiguration of the desired output formation without a redesign of the nominal control. We then apply the presented methods to reconstruct the well-known consensus algorithm, and to study formation control in networks of damped oscillators.
机译:非线性合作控制的数学理论在很大程度上依赖于图论和无源论的概念。关于最大独立于平衡系统的协调控制的一般分析结果是已知的,其将闭环系统的稳态与网络优化理论联系起来。但是,到目前为止,仅分析结果得到了证明,尚无已知的合成结果。这封信提出了一类扩散耦合动态网络的控制器综合程序。我们使用来自网络优化和凸分析的工具表明,对于由最大平衡独立被动系统组成的网络,可以在最大平衡独立输出严格被动的边缘上构造控制器,并实现任何所需的形式。此外,我们表明可以使用线性控制器来实现。我们还提供了一种简单的控制器扩充程序,以允许重新配置所需的输出形式,而无需重新设计名义控制。然后,我们将提出的方法用于重构众所周知的共识算法,并研究阻尼振荡器网络中的编队控制。

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