论文标题
非线性系统的直接数据驱动的LPV控制：实验结果
Direct data-driven LPV control of nonlinear systems: An experimental result
论文作者
论文摘要
我们证明，非线性系统的直接数据驱动控制可以通过基于线性参数变化（LPV）系统概念的行为方法成功完成。 LPV数据驱动的表示形式用作原始非线性系统数据驱动表示的替代LPV形式。基于此表示形式的LPV数据驱动的控制设计仅使用非线性系统中的测量数据，以及在调度映射上的先验信息，可以导致非线性系统行为的LPV嵌入。在文献中首次在非线性不平衡盘系统上展示了所提出的方法的效率，即行为数据驱动的方法能够仅使用7个数据点来稳定真实世界非线性系统的任意强迫平衡。
We demonstrate that direct data-driven control of nonlinear systems can be successfully accomplished via a behavioral approach that builds on a Linear Parameter-Varying (LPV) system concept. An LPV data-driven representation is used as a surrogate LPV form of the data-driven representation of the original nonlinear system. The LPV data-driven control design that builds on this representation form uses only measurement data from the nonlinear system and a priori information on a scheduling map that can lead to an LPV embedding of the nonlinear system behavior. Efficiency of the proposed approach is demonstrated experimentally on a nonlinear unbalanced disc system showing for the first time in the literature that behavioral data-driven methods are capable to stabilize arbitrary forced equilibria of a real-world nonlinear system by the use of only 7 data points.
