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Sensitivity analysis for systems of differential-algebraic equations with applications to predictive control and parameter estimation

机译:微分代数方程组的灵敏度分析及其在预测控制和参数估计中的应用

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Systems of differential-algebraic equations (DAEs) are a natural description for mathematical models of many real-life processes consisting of the interconnection of different physical components with their own dynamic behavior. Such interconnected systems can be described by separate subsystem models, for instance related to electric drives and mechanical components in power trains. Interface conditions are used to connect these subsystems by a description of power flow or, for example, geometric side conditions imposed by links or joints. In this paper, procedures for the computation of state sensitivities with respect to parameters and control inputs are described for DAE formulations of control applications. Procedures for sensitivity analysis are used to investigate the performance of control systems and to derive novel predictive control approaches aiming at accurate trajectory tracking and rejection of external disturbances, as well as procedures for state and parameter estimation.
机译:微分代数方程组(DAE)是许多现实过程数学模型的自然描述,这些过程包括不同物理组件与它们自己的动态行为的互连。这样的互连系统可以通过单独的子系统模型来描述,例如与动力传动系统中的电驱动和机械组件有关。通过描述功率流或例如通过链接或接头施加的几何侧面条件,可以使用接口条件来连接这些子系统。在本文中,针对控制应用程序的DAE公式描述了有关参数和控制输入的状态敏感度计算过程。灵敏度分析程序用于调查控制系统的性能,并推导新颖的预测控制方法,这些方法旨在精确地跟踪和排除外部干扰,以及状态和参数估计程序。

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