• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IFAC PapersOnLine >Data-Driven Predictive Control for Linear Parameter-Varying Systems ?
【24h】

Data-Driven Predictive Control for Linear Parameter-Varying Systems ?

机译：用于线性参数变化系统的数据驱动预测控制 ？

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Based on the extension of the behavioral theory and the Fundamental Lemma for Linear Parameter-Varying (LPV) systems, this paper introduces a Data-driven Predictive Control (DPC) scheme capable to ensure reference tracking and satisfaction of Input-Output (IO) constraints for an unknown system under the conditions that (i) the system can be represented in an LPV form and (ii) an informative data-set containing measured IO and scheduling trajectories of the system is available. It is shown that if the data set satisfies a persistence of excitation condition, then a data-driven LPV predictor of future trajectories of the system can be constructed from the IO data set and online measured data. The approach represents the first step towards a DPC solution for nonlinear and time-varying systems due to the potential of the LPV framework to represent them. Two illustrative examples, including reference tracking control of a nonlinear system, are provided to demonstrate that the data-based LPV-DPC scheme, achieves similar performance as LPV model-based predictive control.
机译：基于行为理论的延伸和线性参数变化（LPV）系统的基础引理，介绍了一种能够确保输入输出（IO）约束的参考跟踪和满足的数据驱动的预测控制（DPC）方案对于在（i）系统可以以LPV形式表示的条件下的未知系统，并且（ii）提供了包含测量的IO的信息集和系统的调度轨迹。结果表明，如果数据集满足激励条件的持久性，则可以从IO数据集和在线测量数据构建系统的未来轨迹的数据驱动的LPV预测器。该方法由于LPV框架的潜力来表示非线性和时变系统的第一步是表示它们的潜力。提供了包括非线性系统的参考跟踪控制的两个说明性示例，以证明基于数据的LPV-DPC方案，实现了与基于LPV模型的预测控制相似的性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号