报告题目：Data-Driven Design and Optimization for Observable Dynamic Processes

报告人简介：华长盛 德国杜伊斯堡埃森大学自动控制与复杂系统研究所（AKS）博士。研究领域：故障诊断和容错控制，数据驱动，即插即用（PnP）控制及电气传动控制。

报告地点：A408

报告时间：8月10日下午4点

报告简介：Over the past few decades, model-based techniques have received considerable attention both in the application and research domains. The leading research is focused on system robustness, optimization, fault detection and fault tolerant control. However, in some cases where particular knowledge of process is unavailable, this model-based technique becomes less effective. Recently, with the development of advanced semiconductor and large-scale integrated circuit technology, data storage costs have decreased. Therefore, data-driven methods are more viable alternatives that can complement model-based methods. In this talk, the reporter will propose a new technique to design an optimal controller using exclusively input-output data for an unknown process, so that the overall system has good control performance, stability, tracking performance and robustness in the presence of external additive disturbances.